Fixed-term

Combining genetic and biophysical approaches to understand the structure function relationship of the Notch Abruptex domain

Details Notch is a developmental signalling receptor with widespread roles in metazoan development and adult stem cell regulation. Precise control of Notch signalling levels is crucial for proper development and health. Inherited mutations of Notch are associated with genetic disease that involves misregulated development, and somatic mutations are linked to cancer. Understanding the link between genetics of Notch and its varied phenotypic outcomes is therefore important for developing novel therapeutic strategies. In our research we have identified a region of the Notch extracellular domain, outside of the ligand binding domain, where mutations cause altered endocytosis and upregulated signal activation. This project will combine genetic, biochemical and biophysical approaches to understand the mechanisms by which this region of Notch regulates its activity, using Drosophila Notch as an experimental model system. In particular, the student will examine how mutations affect structure and regulatory interactions of Notch, understand the mutant impact on Notch trafficking and signalling, and examine how disruption of function in this region leads to changes in gene expression networks. The work will combine biophysical techniques of NMR spectroscopy and crystallography to determine structure, biochemical methods of proximity biotin labelling to identify interacting partner proteins, and RNAseq experiments to understand the consequences of Notch mutations on the transcriptome. Eligibility  Candidates are expected to hold (or be about to obtain) a minimum upper second class honours degree (or equivalent) in a biology-related subject. Candidates with experience in either Drosophila research, structural biology or biochemical approaches are encouraged to apply. Before you Apply Applicants must make direct contact with preferred supervisors before applying. It is your responsibility to make arrangements to meet with potential supervisors, prior to submitting a formal online application. How to Apply To be considered for this project you MUST submit a formal online application form – on the application form select PhD Developmental Biology Programme. Full details on how to apply can be found on the Website: How to apply for postgraduate research at The University of Manchester If you have any queries regarding making an application please contact our admissions team FBMH.doctoralacademy.admissions@manchester.ac.uk Equality, Diversity and Inclusion Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website: Equality, diversity and inclusion (EDI | Postgraduate Research | Biology, Medicine and Health | University of Manchester Funding Notes Applications are invited from self-funded students. This project has a Band 3 (high) fee. Details of our different fee bands can be found on our website: https://www.bmh.manchester.ac.uk/study/research/fees/

(PhD by Enterprise) Genome safeguarding technologies for synthetic phage therapeutics against multidrug resistant bacterial infections

Details Rising levels of antimicrobial resistance pose a serious threat to global health and modern medical treatments. The slow pace of antimicrobial discovery has driven the rediscovery of an old idea: using the natural viral predators of bacteria, phages, to treat infections. Conventional phage therapy, using naturally occurring phages, has been proven safe and effective across 1000s of individual patients for a wide range of bacterial diseases. Rollout of conventional phage therapy in the clinic has, however, been slowed by logistical, regulatory and commercialization barriers. Synthetic genomics allows phage genomes to edited, recombined or designed from scratch. Synthetic phages are a pathway to more standardized, scaleable and commercializable phage therapeutics, overcoming regulatory and commercialization barriers. Robust genome safeguarding will be essential for the broad adoption of synthetic phage therapeutics. In this project we will develop genome safeguarding technologies for synthetic phages that prevent their unwanted release into natural environments and ensure robust protection of intellectual property. These genome safeguarding technologies will be built-in to synthetic phage therapeutics for treatment of multidrug resistant bacterial infections and tested in relevant preclinical infection models. The project will offer broad training in synthetic genomics and synthetic biology, microbiology and phage biology, infection biology and evolutionary biology. The student will gain expertise in statistical analysis, bioinformatics, data visualisation and experimental design. The project will provide experience in developing a novel biotechnology including training in innovation, commercialisation and business development and opportunities to interact with regulators and policy-makers. Entry Requirements Applicants should hold (or be about to obtain) a First or Upper Second class (2:1) UK honours degree, or international equivalent, in a relevant subject. Application Guidance Candidates must contact the primary supervisor before applying to discuss their interest in the project and assess their suitability. Apply directly via this link: https://shorturl.at/BRKKT or on the online application portal, select PhD by Enterprise Programme as the programme of study. Please ensure that your application includes all required supporting documents: Curriculum Vitae (CV) Supporting Statement Academic Certificates and Transcripts Incomplete or late applications will not be considered. Further details are available on our website: PhD by Enterprise | Biology, Medicine and Health | The University of Manchester Equality, diversity and inclusion are central to the University’s activities. The full statement can be found here: https://www.bmh.manchester.ac.uk/study/research/getting-started/equality-diversity-inclusion/ Funding Notes This PhD by Enterprise studentships provide full funding for tuition fees and a stipend at the UKRI rate for four years starting in September 2026. This funded scheme will also allow for Visa and Immigration Costs to be reimbursed for successful international PGRs.

Utilizing machine learning to decipher the mechanism of protein-DNA binding

Details Transcriptional gene regulation, or the ability to control the timing and levels of gene expression through binding of transcription factors (TFs) to DNA, is a defining feature of life. It allows organisms to coordinate function internally and to respond to external changes in the environment. The main mechanism through which gene regulation occurs, especially in bacteria, relies on binding between a protein (transcription factor, or TF) and DNA. TFs bind DNA in a sequence-specific manner, preferring some residues over others and in doing so enabling regulation to be specific and efficient. In spite of the importance and the central role that the specificity of transcription factor-DNA binding plays in gene regulation, we know little about how 3D protein structure determines this specificity. The aim of this interdisciplinary project is to utilize cutting-edge machine learning tools and techniques to decipher how the 3D structure of the TF determines its sequence-binding specificity. We will do this for TetR, a bacterial transcriptional regulator that is critical in the regulation of antibiotic resistance to an entire category of antibiotics, tetracyclines. To achieve this aim, the student will address the following objectives: 1. develop a model to predict sequence-binding specificity of wildtype TetR: utilize Alpha Fold and Rosetta to simulate how the wildtype TetR protein binds to a range of different DNA sequences and use those predictions to reconstruct the biophysical sequence-binding specificities of TetR. Binding specificities for TFs are currently determined experimentally and Lagator group did so for TetR, providing a unique experimental reference dataset to validate and fine-tune the model on. Achieving this objective will enable and demonstrate how to determine sequence specificity of TFs computationally. 2. characterize sequence-binding specificity of TetR variants: currently, almost nothing is known about how binding specificity changes as the protein sequence changes. Here, we will rely on the novel aspect of Alpha Fold, namely, its ability to predict structure of protein-DNA complexes, to simulate a large number of TetR variants with mutations in the DNA-binding domain. Then, the student will utilize the model from Objective 1 to determine sequence-binding specificities of all these variants. This will mark the first study to characterize how binding specificity changes as a consequence of changes to protein sequence. 3. decipher how structure shapes binding specificity: armed with a large number of TetR variants with characterized binding specificities (from Objective 2), the student will interrogate the relationship between the differences in their structure and in their binding specificities. Doing so will allow us to identify, for the first time, how changes to protein structure alter its binding. Achieving the aim and objectives of the study will: (i) provide key novel insights into the relationship between protein sequence, structure and function (i.e., its binding specificity). As such, the project will be the first to unravel this critical relationship, and to do so for a key regulator of antibiotic resistance. (ii) develop new techniques at the interface between machine learning, structural biology and biophysics, and demonstrate how they can be applied to tackle key outstanding questions of relevance to the study of gene regulation, evolution, molecular and synthetic biology. To achieve the aim and objectives will require an interdisciplinary team, with expertise in the biology and biophysics of gene regulation (Dr. Lagator), structural biology (Prof. Lovell) and machine learning/AI (Prof. Rattray). The student will therefore have all the critical support in place to tackle this project, which can be found with the supervisors and the members of their research groups. Each of the supervisors will provide bespoke support for the student, depending on their background and development needs. The student will have a weekly meeting with the supervisors, and will also be assigned an advisor to help identify, signpost and develop their skillset to tackle the project aim. They will also be invited to join respective group meetings, providing an opportunity to regularly present their work and benefit from the experience of other PhD students and postdocs. The student will have access to various workshops and courses offered within the Faculty, aimed at developing research and soft skills of PhD students. The student will also be integrated into the Microbial Evolution Research Manchester (MERMan) group, one of Europe’s biggest clusters of researchers working on various aspects of microbial ecology and evolution, where they will be invited to give seminars and expand their research network. Eligibility  Candidates are expected to hold (or be about to obtain) a minimum upper second class honours degree (or equivalent) in computer science, physics, mathematics, bioinformatics or other related disciplines. Alternatively, the candidates would exhibit strong experience in computational biology and coding. Before you Apply Applicants must make direct contact with preferred supervisors before applying. It is your responsibility to make arrangements to meet with potential supervisors, prior to submitting a formal online application. How to Apply To be considered for this project you MUST submit a formal online application form – on the application form select PhD Bioinformatics Programme. Full details on how to apply can be found on the Website: How to apply for postgraduate research at The University of Manchester If you have any queries regarding making an application please contact our admissions team FBMH.doctoralacademy.admissions@manchester.ac.uk Equality, Diversity and Inclusion Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website: Equality, diversity and inclusion (EDI | Postgraduate Research | Biology, Medicine and Health | University of Manchester Funding Notes Applications are invited from self-funded students. This project has a Band 2(med) fee. Details of our different fee bands can be found on our website https://www.bmh.manchester.ac.uk/study/research/fees/

Turbocharging T cell therapeutics for solid cancer

Details T cell–based immunotherapies have shown promise for certain malignancies, yet multiple factors limit their effectiveness in solid tumors. This project seeks to address those limitations through a multipronged strategy that combines interventions and genetic modifications known to yield incremental improvements when used individually. Specifically, the student will explore approaches such as (1) modulating T cell subsets (e.g., T stem cell memory or naïve T cells) through small molecules and cytokines during expansion, (2) employing next-generation T cell engineering (e.g., advanced CAR constructs, CRISPR/shRNA-mediated gene edits), and (3) introducing molecular enhancements (e.g., forced expression of tumor-infiltration–promoting factors). By systematically combining these tactics, we aim to discover synergistic effects that can overcome the immunosuppressive environment of solid tumors. The project will maintain flexibility, allowing the student to adapt interventions and modifications as new insights emerge, with the overarching goal of driving T cell therapies toward more profound and durable therapeutic responses. Eligibility  Candidates are expected to hold (or be about to obtain) a minimum upper second class honours degree (or equivalent) in a related area/subject. Candidates with experience in cell culture, molecular biology and genetic modification and mouse cancer models are encouraged to apply. Before you Apply Applicants must make direct contact with preferred supervisors before applying. It is your responsibility to make arrangements to meet with potential supervisors, prior to submitting a formal online application. How to Apply To be considered for this project you MUST submit a formal online application form – on the application form select PhD Immunology Programme. Full details on how to apply can be found on the Website: How to apply for postgraduate research at The University of Manchester If you have any queries regarding making an application please contact our admissions team FBMH.doctoralacademy.admissions@manchester.ac.uk Equality, Diversity and Inclusion Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website: Equality, diversity and inclusion (EDI | Postgraduate Research | Biology, Medicine and Health | University of Manchester Funding Notes Applications are invited from self-funded students. This project has a Band 3 (high) fee. Details of our different fee bands can be found on our website https://www.bmh.manchester.ac.uk/study/research/fees/

Fixing Fragile Skin: Mechanobiology Meets RNA Therapeutics

Details People born with epidermolysis bullosa (EB) have skin so fragile it can blister and tear at the slightest touch—often described as being as delicate as a butterfly’s wings. This rare genetic condition severely impacts quality of life from childhood onwards, and there is currently no cure. This PhD project will explore a new way to strengthen the ‘glue’ that holds the layers of skin together. We will examine short pieces of genetic material known as microRNAs, which behave like miniature dimmer switches, regulating gene expression. By altering the levels of a specific microRNA-29, we aim to determine whether we can encourage skin cells to produce a healthier support structure, making the skin less susceptible to tearing and blistering. You will address a central question in biology investigating forces integrated in genetic regulation that establish and maintain organ integrity, and how can these processes be reprogrammed in disease? Combining mouse genetics, skin biology, and advanced mechanobiology, you will investigate how cells anchor to their surrounding extracellular matrix and why this fails in EB. We focus on microRNA-29 (miR-29), a key regulator of extracellular matrix organisation. You will determine how modulating miR-29 alters cell–matrix adhesion, using genetic mouse models alongside cutting-edge technologies such as atomic force microscopy and FluidFM, enabling direct, quantitative measurement of adhesion forces at single-cell resolution. The aim is to define new principles of tissue stability and inform the development of RNA-based therapeutic strategies for fragile skin disorders. Eligibility  Applicants should hold a minimum upper second-class undergraduate honours degree (or equivalent) in Biology, Biomedical Sciences, Genetics, Physiology, or a related field. We are particularly interested in candidates with practical laboratory experience, especially in: Mouse models (e.g. handling, genotyping, basic in vivo work) Skin, epithelial, or tissue biology Molecular or cell biology techniques A Master’s degree or current/recent experience as a research technician is strongly preferred. Candidates without hands-on experience in mammalian laboratory work are less likely to be competitive. How to Apply For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website (https://www.bmh.manchester.ac.uk/study/research/apply/). Interested candidates must first make contact with the Primary Supervisor prior to submitting a formal application, to discuss their interest and suitability for the project. On the online application form select PhD Cell Matrix Research. Equality, Diversity and Inclusion Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website: Equality, diversity and inclusion (EDI | Postgraduate Research | Biology, Medicine and Health | University of Manchester Funding Notes DEBRA UK. Studentship funding is for a duration of three years to commence in September 2026 and covers UK tuition fees and an annual stipend (£25,193per annum).

Microbial engineering of novel catalysts for hydrogen production

Details Project Overview: Hydrogen is increasingly seen as a critical component in achieving UK Net Zero targets. However, 80% of global hydrogen is produced via the Water-Gas Shift (WGS) reaction using iron–chromium catalysts, which are energy-intensive to produce and operate. Furthermore, chromium use raises significant health, environmental, and disposal concerns, prompting increasing regulatory and industrial pressure to find sustainable Cr-free alternatives. However, the design of Cr-free catalysts is hindered by a limited understanding of the impact of alternative dopants on the nanoscale structure and properties of these catalysts and how these features govern stability and activity in the WGS reaction. Microorganisms offer a scalable platform for the synthesis of catalytic nanoparticles, including iron-based catalysts, under mild conditions. In addition, microbial incorporation of metal dopants can tune nanoparticle properties, significantly enhancing the catalytic activity. This project will exploit metal-reducing microorganisms to produce a suite of novel Cr-free biogenic catalysts, using controlled dopant incorporation and tailored microbial pathways to engineer catalyst structure and performance. These materials will be analysed using advanced spectroscopic methods and electron microscopy to determine how dopants and biosynthesis conditions influence catalyst nanoscale structure. Finally, catalyst activity will be evaluated under WGS conditions to establish clear synthesis–structure–activity relationships to facilitate the rational design and development of sustainable, high-performance catalysts for hydrogen production. Training: The student will benefit from unique cross-disciplinary training, gaining experience in microbial cultivation, mineralogical analysis, and advanced characterisation techniques such as Scanning Transmission Electron Microscopy (STEM), Electron Energy Loss Spectroscopy (EELS). The student will also be supported through regular mentoring, professional development opportunities, and active integration into research groups across departments to help them develop strong networks with colleagues and collaborators. Eligibility Applicants are expected to hold, or about to obtain, a minimum upper second class undergraduate degree (or equivalent) in Environmental Science, Microbiology, Chemistry, Materials Science, Geosciences or a closely related discipline. A Masters degree in a relevant subject is desirable but not required. Funding This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. Before you apply We strongly encourage you to contact the project supervisor, Richard Kimber (richard.kimber@manchester.ac.uk), in relation to any applications or initial questions. We recommend that you apply early as the advert will be removed once the position has been filled. How to apply Apply online through our website: https://uom.link/pgr-apply-2425 When applying, you’ll need to specify the full name of this project, the name of your supervisor, if you already having funding or if you wish to be considered for available funding through the university, details of your previous study, and names and contact details of two referees. Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered. After you have applied you will be asked to upload the following supporting documents: Final Transcript and certificates of all awarded university level qualifications Interim Transcript of any university level qualifications in progress CV Supporting statement: A one or two page statement outlining your motivation to pursue postgraduate research and why you want to undertake postgraduate research at Manchester, any relevant research or work experience, the key findings of your previous research experience, and techniques and skills you’ve developed. (This is mandatory for all applicants and the application will be put on hold without it). Contact details for two referees (please make sure that the contact email you provide is an official university/work email address as we may need to verify the reference) English Language certificate (if applicable) If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions@manchester.ac.uk. Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status. We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).

(BioProcess) Harnessing Biocatalysis Toward Next Generation Nucleoside Triphopshates

Details Canonical nucleotides constitute the building blocks for the biomolecules of life. They are integral components of oligonucleotides that encode the proteins required to control biological processes. Structurally modified nucleotides provide cornerstone building blocks for derived oligonucleotide (or nucleic acid) therapeutics that commonly target mRNA to perturb the production of disease-related proteins.[1,2] Oligonucleotide therapeutics are an emergent drug modality and consist of modified or unmodified short nucleic acid sequences; these include antisense oligonucleotides (ASOs), small interfering RNAs (siRNAs), microRNA (miRNAs), aptamers, and DNAzymes.[3] Notable recently also is the use of oligonucleotide sequences (mRNA) in the development of a vaccine for SARS CoV 2. Currently, twenty-two oligonucleotide therapeutics have been granted new drug approval by the U.S. Food and Drug Administration and many more are in the advanced stages of clinical trials.[4] To meet a growing demand for RNA based therapeutics, new modalities and more efficient, sustainable and cost-effective synthetic methods to produce them are urgently needed.[5] To this end, several groups have developed complementary biocatalytic strategies exploiting terminal deoxyribonucleotidyl transferases (TdTs), RNA, DNA and Poly(U) polymerases that can extend RNA sequences using nucleoside triphosphate (NTP) building blocks.[6,7] Moreover, biocatalysis is now primed to unlock efficient routes to synthesis these requisite NTPs. Herein we will develop a biocatalytic approach to nucleoside triphosphates containing non-canonical ribose. Building upon the supervisor’s complimentary research expertise in this area (https://millerresearchgroup.co.uk & https://www.lovelockresearchgroup.co.uk),[8,9] this PhD will involve the design and chemoenzymatic synthesis of a new nucleoside and nucleotide analogues to enable their evaluation in relevant biological systems. You will receive training in nucleotide chemistry, biocatalysis and protein engineering, all geared towards the design and development of routes to the novel nucleoside/nucleotide targets. Transferable skills such as reporting of results orally and in writing, time management, project planning and management will also be developed. About the programme Join experts in industry and academia working to sustainably manufacture the complex and diverse molecules needed by modern society. Industrial manufacturing is at a turning point. Many conventional production routes rely on non-renewable resources, harmful chemicals, and energy-intensive steps. Biocatalysis using engineered enzymes offers a proven solution. Led by The University of Manchester in collaboration with AstraZeneca, The Universities of Bristol and York alongside other leading industrial partners, BioProcess aims to train the next generation of scientists in the skills needed to realise full the potential of biocatalysis, protein engineering and biomanufacturing for the UK bioeconomy. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real-world skills to apply biocatalysis, protein engineering and sustainable manufacturing in industry. We offer: PhD projects co-developed with industry and aligned with real manufacturing challenges advanced theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process modelling and development; digital skills Access to a network of elite partners and mentors A strong track record of impact, including a free online course in industrial biotechnology with over 10,000 learners to date. Strong foundations in Biocatalysis: Formerly CoEBio3, our centre has a focus on delivering solutions with real impact in pharmaceutical and chemical manufacturing with our industry partners. Our work has already enabled major industrial advances Commercialised over 1,000 enzymes                                                                              Covering 20+ reaction types, significantly expanding biocatalytic options for manufacturing. Pioneered metal-free processes Reducing reliance on costly and hazardous precious metal catalysts. Delivered high-performing biocatalysts Engineered industry-ready enzymes suitable for large scale pharmaceutical manufacturing. We’ve also helped shape national policy. In 2018, our researchers co-authored the UK strategy report Growing the UK Industrial Biotechnology Base, supporting government plans for a £440 billion bio-economy by 2030. Eligibility Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. How to apply To be considered for this project you’ll need complete a formal application through our online application portal. Applications should be submitted through the BioProcess IDLA Website (https://www.mib.manchester.ac.uk/research/centres/coebio3/), where you can find a step-by-step guide to the process. Further information about the IDLA is also available. Informal enquiries can be made by emailing sarah.shepherd@manchester.ac.uk. Please see individual project deadlines. Applications received after the deadline will not be considered. Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status. We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder). Funding Notes Successful applicants will be awarded a 4-year studentship covering: ·      Tuition fees paid at Home student rate* ·      A tax-free stipend to help with living costs, set at the UKRI minimum rate ·      A Research Training and Support Grant to cover travel expenses and project consumables associated with your research including conference attendance, secondments, and other research and training activities ·      A flexible budget for personal development and training Additional funding is available to support a range of IDLA activities, such as institutional visits, outreach and hands-on practical training. *A limited number of IDLA studentships may be awarded to international students each year. We strongly encourage international applicants to discuss tuition fee waivers during the interview stage, so that potential fee reductions or additional scholarship support through the host university can be explored. Any waiving of international fees will be considered on a case-by-case basis by the host institution. References (1) Nat. Rev. Drug Discov. 2013, 12, 447–464. https://doi.org/10.1038/nrd4010. (2) Molecules 2020, 25, 2050. https://doi.org/10.3390/molecules25092050. (3) ACS Cent. Sci. 2020, 6, 672–683. https://doi.org/10.1021/acscentsci.0c00489. (4) ACS Central Sci 2021, 7, 1980–1985. https://doi.org/10.1021/acscentsci.1c00608. (5) Cell Rep. 2015, 11, 1018–1030. https://doi.org/10.1016/j.celrep.2015.04.031. (6) Nat. Biotechnol. 2017, 35, 238–248. https://doi.org/10.1038/nbt.3765. (7) Nat Nanotechnol

Cryopreservation of T-cells for improved transport and Therapy

Details All modern biotechnology, basic cell biology research and many advanced medicines rely on a cold chain to delivery intact and viable cells. To achieve this cryoprotectant agents (CPAs) are required. Conventional cryopreservation with DMSO is inefficient and leads to slow post-thaw cell growth, which constrains many application areas. We have a major research interest in developing new cryoprotectants, which we achieve with bottom-up science, rather than only reformulating known CPAs, to target specific mechanisms of damage. In particular inspiration from natural macromolecular cryoprotectants (ice binding proteins) to both understand why the cells suffer post-thaw, but to also improve and scale the process. We have made major contributions in this area, including the use of Machine learning to discover new cryoprotectants [Nature Communications 2024, 15, 8082], macromolecular cryoprotectants [ACS Applied Materials and Interfaces, 2023, 15, 2630] and also for cold-chain free protein storage [Nature, 2024, 631, 544] In this PhD, which is co-funded by an industrial partner, we will look to improve the storage of several biotechnologically relevant cell lines with the aim of accelerating bioprocessing. There will be opportunities to visit our industry partner (based in Northern England). We have world-class facilities for this work, in the Manchester Institute of Biotechnology, including dedicated microscopy facilities (high content and confocal) flow cytometers and other associated facilities. Our group webpage is here https://gibsongroupresearch.com where additional information can be found. Eligibility Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Experience of cell culture will be a benefit. Funding This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. We recommend that you apply early as the advert may be removed before the deadline. Before you apply Please send a 2 page CV (max) including publications, research experience and grades to Professor Gibson (matt.gibson@manchester.ac.uk How to apply Apply online through our website: https://uom.link/pgr-apply-2425 When applying, you’ll need to specify the full name of this project, the name of your supervisor, if you already having funding or if you wish to be considered for available funding through the university, details of your previous study, and names and contact details of two referees. Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered. After you have applied you will be asked to upload the following supporting documents: Final Transcript and certificates of all awarded university level qualifications Interim Transcript of any university level qualifications in progress CV Supporting statement: A one or two page statement outlining your motivation to pursue postgraduate research and why you want to undertake postgraduate research at Manchester, any relevant research or work experience, the key findings of your previous research experience, and techniques and skills you’ve developed. (This is mandatory for all applicants and the application will be put on hold without it). Contact details for two referees (please make sure that the contact email you provide is an official university/work email address as we may need to verify the reference) English Language certificate (if applicable) If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions@manchester.ac.uk. Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status. We also support applications from those returning from a career break or other roles. featuredproject3_May26 Funding Notes This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. We recommend that you apply early as the advert may be removed before the deadline. Apply Now

Studying microRNA landscape during spinal cord regeneration

Details The human spinal cord (SC) has limited regenerative capacity, and no effective therapies exist to restore function after spinal cord injury (SCI), resulting in severe disability and low quality of life and life-expectancy. In non-regenerative species, damaged axons fail to regrow, and neural stem/progenitor cell (NSPC) proliferation primarily contributes to scar formation. In contrast, regenerative species such as Xenopus and zebrafish restore axonal continuity, with NSPCs mounting a rapid proliferative response that leads to neurogenesis. These processes are governed by dynamic interactions between transcription factors (TFs) and regulatory molecules such as microRNAs. My work has shown that microRNAs are key to tune the dynamic expression of TF during developmental neurogenesis. MicroRNAs are present in SC and SC fluid (SCF), and their expression is dysregulated after SCI, suggesting that they play a role in this pathogenesis. Most microRNA data come from SC tissue or SCF in non-regenerative species, with limited knowledge in regenerative models, which has only been evaluated in SC tissue at single timepoint. A member of our team has pioneer the extraction of Xenopus SCF undergoing regeneration, technique that will provide information to use cross-regenerative species. We hypothesize that SCI induces dynamic changes in the microRNA landscape of both NSPCs and SCF that promote a permissive environment for regeneration. To validate this hypothesis, you will (1) perform a high-throughput microRNA and mRNA sequencing analysis of NSPCs and SCF at different timepoints from regenerative and non-regenerative Xenopus stages, (2) identify candidates and validate differentially expressed microRNA-mRNA nodes using RT-qPCR to comprehensively understand the microRNA-mRNA landscape changes after SCI, (3) conduct cross-species studies to understand the conserved underlaying mechanism of validated microRNA after SCI. Molecular, genetic, and imaging approaches, including CRISPR-Cas9 mutagenesis, in situ hybridization, immunostaining, and live microscopy, and xenopus and zebrafish spinal cord injury will be used for this study. Candidates are expected to hold (or be about to obtain) a minimum 2:1 Bachelors Degree with Honours (or equivalent) in a related area/subject. Candidates with previous laboratory experience, particularly in zebrafish and/or xenopus, molecular biology and confocal imaging, are particularly encouraged to apply. Eligibility  Applicants must have obtained or be about to obtain a minimum Upper Second class UK honours degree, or the equivalent qualifications gained outside the UK, in a relevant discipline. Before you Apply Applicants must make direct contact with preferred supervisors before applying. It is your responsibility to make arrangements to meet with potential supervisors, prior to submitting a formal online application. How to Apply To be considered for this project you MUST submit a formal online application form – on the application form select PhD Neuroscience Programme. Full details on how to apply can be found on the Website: How to apply for postgraduate research at The University of Manchester If you have any queries regarding making an application please contact our admissions team FBMH.doctoralacademy.admissions@manchester.ac.uk Equality, Diversity and Inclusion Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website: Equality, diversity and inclusion (EDI | Postgraduate Research | Biology, Medicine and Health | University of Manchester Funding Notes Applications are invited from self-funded students. This project has a Band 3 (high) fee. Details of our different fee bands can be found on our website https://www.bmh.manchester.ac.uk/study/research/fees/ Apply Now

Postdoctoral Research Fellow (14124)

The Opportunity: We are seeking a highly skilled and motivated Postdoctoral Researcher to join our Translational Cerebral Amyloid Angiopathy (CAA) Research Lab at the BHF-UK DRI Centre for Vascular Dementia Research. This role is ideal for someone with a strong technical and computational and background who is passionate about applying advanced data analysis to complex biological systems. As a Postdoctoral Researcher, you will be performing in vivo optical microscopy experiments in rodent models. You will play a central role in developing and implementing computational approaches for the acquisition and analysis of high-resolution optical imaging data. Working with state-of-the-art in vivo two-photon microscopy datasets, you will design analysis pipelines, develop code, and extract meaningful insights from large, multidimensional imaging datasets. Your work will directly contribute to understanding the mechanisms underlying CAA and vascular dysfunction in neurodegenerative disease. Alongside your computational focus, you will contribute to experimental workflows, including in vivo imaging studies and ex vivo tissue analysis, ensuring strong integration between data acquisition and analysis. This is a collaborative and interdisciplinary environment, where you will work closely with experimental researchers while leading on computational strategy and innovation. We are looking for someone with strong programming skills (e.g. Python, MATLAB), experience in image processing and analysis, and the ability to handle complex datasets with precision and creativity. A proactive mindset, attention to detail, and enthusiasm for developing new computational methods are essential. We are committed to supporting your development. As part of the BHF-UK DRI Centre for Vascular Dementia Research, you will be embedded in a world-class research environment with access to cutting-edge technologies and opportunities to expand your computational and scientific expertise. This is a full-time (35 hours per week) and 100% on campus. View the full job description  How to apply Please include the following documents in your application: – CV – Cover letter As a valued member of our team, you can expect:  A competitive salary. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits. Championing equality, diversity, and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. We welcome applications from all qualified candidates. Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.  Key dates to note The closing date for applications is 8th June 2026. Apply Now

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