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Your Workplace Institute of Physiology and Pathophysiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Benefits: We Have a Lot To Offer Regular promotion to the next level and increase in salary pursuant to the collective bargaining agreement for the public service of the German Länder (TV-L) or remuneration pursuant to the Bavarian Public Servants Remuneration Act (BayBesG) plus an additional annual bonus 30 days annual leave at five working days per week with additional free days on December 24 and 31 Flexible working hours and models and the possibility to take time off in lieu Occupational pension scheme and asset accumulation savings scheme Family-friendly environment with childcare options, also during school holidays Working from home generally possible after training A wide range of training courses and opportunities for professional development Thorough onboarding process with a dedicated team Joint team activities Subsidized food and drinks in our student restaurants Offices within comfortable walking distance of public transport Active health management IT-supported facility management system Your Tasks The laboratory of Prof. A. Ponomarenko is seeking a doctoral student with a strong interest in the dynamics of neuronal circuits and behavior. A central research topic of our group is neural coding and dynamics underpinning cognitive control of learned and instinctive (innate) behaviors. Using in vivo electrophysiology, opto-, chemogenetics, and machine learning approaches we have previously shown that network oscillations organize neuronal signaling from the hippocampus, prefrontal cortex, and the lateral septum to and within the hypothalamus, and crucially contribute to the regulation of locomotion (Bender et al., 2015), food seeking (Carus-Cadavieco et al., 2017) and intake (Altafi et al., 2024), and behavioral transitions (Chen et al., 2024). Your Profile You hold a Master’s (or equivalent) in neuroscience or a related field and are genuinely curious about neuronal dynamics and behavior. Prior experience with in vivo techniques, including animal behavior and computational data analysis, is highly beneficial. Motivation to acquire computer coding skills is required. You bring a constructive, problem-solving mindset to the project, are prepared for sustained and focused work, and value effective communication with your team and supervisor. The application process Apply online Automatic confirmation of receipt sent by e-mail Place of employment views applications Invitation to first interview Optional invitation to second interview in person at FAU Is there a match? Employment documents prepared Consultation with Staff Council Commencement of employment – welcome to FAU Notice For all job postings, the following applies: Friedrich-Alexander-Universität promotes equal professional opportunities for women. Women are therefore expressly encouraged to apply. Severely disabled persons as defined by the German Severely Disabled Persons Act will be given preferential consideration if they have the same professional qualifications and personal aptitude and if the advertised position is suitable for severely disabled persons. Details can be found in the respective job posting under “Remarks.” At the applicant’s request, the Equal Opportunities Officer may be included in the job interview without any disadvantage to the applicant. All advertised positions are generally suitable for part-time work unless stated otherwise in the job posting. Contact Prof. Alexey Ponomareko Email: alexey.ponomarenko@fau.de Phone: +49 9131 85-29302 Apply Now
At the University of Bayreuth, at the Chair of Fungal Ecology, a position is expected to be filled as of 01.05.2026 (part-time, 65%). The position is limited to 4 years. Your tasks: The largest part of plant and animal biomass produced in forests enters the soil compartment, and returns into nutrient cycles as dead organic matter, which is decomposed by bacteria, fungi, arthropods and other soil organisms. The structure of the forest canopy affects light, temperature and moisture conditions at ground level, and the quantity and quality of litter and dead wood produced, which thus determines decomposer biodiversity, rates of decomposition and nutrient cycling. Therefore, changes in forest management practices that alter the forest canopy can largely affect decomposers, decomposition processes and nutrient fluxes. This project aims to quantify the direct environmental (microclimate, resource availability) and indirect microbial diversity effects of Enhancement of Structural Complexity treatments on necromass decomposition at the patch (alpha), between-patch (beta) and forest district (gamma) level. A broad set of diversity measures, encompassing taxonomic, phylogenetic, and functional diversity, will be employed to enhance our mechanistic understanding of microbial diversity’s relationship to decomposition processes. The project includes assessing the temporal aspects of decomposition through continuous monitoring of (i) crucial decomposer groups, specifically bacteria and fungi found in deadwood, and of (ii) decomposition rates of various necromass types, including often overlooked fungal mycelia. Finally, to evaluate the functional implications of different decomposition rates resulting from ESC treatments, we will use a tracer experiment to measure nutrient release from decomposing substrates and their subsequent uptake by plants. We are looking for candidates (m/f/d) with a deep interest for molecular ecology and ecosystem functioning research, who appreciate intensive field work in the forest as well as lab work, and who have a good understanding of statistics. We offer a four-year TV-L 65 % contract, excellent working conditions, and an inspiring atmosphere at the Universities of Bayreuth and Freiburg. Your Profile: Excellent M.Sc. degree in a project-related field (e.g. ecology, forest science, remote sensing, environmental sciences) Very good ecological knowledge and great interest with regard to forest biodiversity/functioning research Good quantitative and statistical skills in R Excellent communication skills in English – writing and speaking. Motivated to be a proactive team player in an international, interdisciplinary research consortium Field work experience in forests would be advantageous Driving license is a must; partly also a private car, if the company car is not available. (Reimbursements for private KM costs will be paid based on a flat rate per kilometer.) What you can expect: Cutting-edge research projects in a real-world forest diversity experiment Outstanding, interdisciplinary and integrative research environment, offering many networking opportunities Individual supervision by internationally recognized scientists in BEF and forest biodiversity research Extensive data on biodiversity, forest structure, climate and ecosystem functions collected in a unique landscape experiment A secure position at a modern university An interesting and varied role within the university environment Flexible working hours and the possibility of working from home within the framework of the applicable service agreement A constructive working atmosphere in a friendly, open-minded team Good compatibility of family and career Opportunities for personal and professional development through various training programs Additional advantages of public service employment, such as JobRad, attractive supplementary pension benefits with the VBL, and a wide range of health promotion offerings (e.g., health days, workshops, Active Break), as well as the opportunity to participate in a large number of different sports activities through the university sports program In addition to regular vacation days and the option of flexible working hours, days off on December 24 and December 31 each year Compensation is based on TV-L. The University of Bayreuth values the diversity of its employees and explicitly commits to the goal of gender equality. Applications from women are strongly encouraged. Applicants with children are very welcome. The University of Bayreuth is a member of the Best Practice Club “Familie in der Hochschule e.V.” and has successfully participated in the HRK audit “Internationalization of Universities.” Persons with disabilities will be given preference if equally qualified. Your application Please apply online with meaningful application documents by 25.02.2026, indicating the reference code“SP7”via the University of Bayreuth’s application portal. All documents will be deleted following the filling of the position in accordance with data protection regulations. For further questions, please contact: Prof. Dr. Claus Bässler (claus.baessler@uni-bayreuth.de) Apply Now
Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. The department of Bioinformatics at the Institute of Pharmacy and Molecular Biotechnology (IPMB) of Heidelberg University is offering a 3-year full-time (100%; 39,5 h/week) postdoc position in Multiomics Data Integration and Machine-Learning for therapy response prediction in metastatic cancer. This position is funded by the European Partnership in Personalized Medicine (EP PerMed) within a trans-national consortium involving research groups from Spain, Italy, France and Germany, focusing on metastatic papillary renal carcinoma. The consortium will perform multi-omic characterization of metastatic pRCC samples across four European countries, integrating real-world drug response data with preclinical model testing to create the world′s largest metastatic pRCC database. Heidelberg University leads the multidimensional data integration task, focusing on centralized data management and machine learning-based integration of multi-omic datasets. Our goal is to identify predictive signatures and develop treatment response models to enable biomarker-guided clinical trials. Postdoctoral researcher in machine-learning for multi-omics (f/m/d) Your tasks: Apply interpretable machine learning approaches to identify multi-omic signatures and build predictive models for Treatment response. Establish and maintain centralized storage infrastructure for processed multi-omic datasets from consortium partners And community use. Collaborate with clinical and experimental partners across multiple countries. Your profile: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or related field Experience with high-throughput genomic data analysis Experience in machine learning and statistical modeling for genomic data Excellent English communication skills and team work skills Experience with multi-omics data integration and cancer genomics would be a plus We offer: Position in cutting-edge precision medicine research with international collaborators Access to unique multi-omic datasets and computational infrastructure A stimulating research environment within the Institute and at Heidelberg University (www.hdsu.org) Home office opportunity Remuneration is based on the German wage agreement for the public service (TV-L). Please send a PDF of your CV, including up to five publications if available, and a one-page motivation letter including at least two references in one collated PDF file to: carl.herrmann@uni-heidelberg.de. The application deadline is February, 20th 2026. carl.herrmann@uni-heidelberg.de) Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on the job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market.
Your tasks: Coordination of the research activities of the cluster research teams in Heidelberg and the other two locations, in particular with the main cluster coordination office at Tübingen University Support of the Heidelberg cluster spokesperson in all matters to pursue the scientific aims of the cluster Driving the scientific and structural development of the cluster Coordination of the finances and personnel at the Heidelberg location including set-up and management of cluster-internal funding schemes Organisation of the cluster committee meetings, scientific workshops, conferences and meetings with the international scientific advisory board also in terms of content Contribution to the regular reporting duties together with the main cluster office in Tübingen and the cluster spokespersons Coordination of the research-oriented teaching activities of cluster members in Heidelberg also in terms of content and development of cluster-focussed teaching offers Supervision of personnel management, the local cluster management office and daily administrative routines Acting as liaison between researchers, university administration and the cluster partners Acting as diversity manager for all cluster teams and locations Conceiving a diversity strategy in close collaboration with the Unit for Family, Diversity & Equality (Unify) of Heidelberg University and the other two cluster locations Contribution to outreach activities of the cluster Support of the generalization and dissemination of scientific concepts revealed by cluster members Critical monitoring of cluster-related research activities Your profile: Completed scientific university degree (Master’s or university diploma) and doctorate preferably in biology, agricultural sciences, or a related natural science discipline Postdoctoral and international experience is highly desirable Experience in the management and coordination of (interdisciplinary) research projects is highly desirable Strong strategic mindset and demonstrated ability for proactive and solution-oriented approaches Experience in teaching and development of teaching programs can be of advantage Working effectively both in an independent manner and as part of a diverse, collaborative team High level of communication skills and reliability Excellent written and verbal communication skills in German and English language We offer: Varied and responsible tasks in a dynamic international environment Opportunity for professional development Very friendly and collegial working atmosphere Flexible, family-friendly working time models Wide range of university benefits (subsidized Deutschlandticket, university sports etc.) The position is generally divisible and remunerated according to TV-L. We look forward to receiving your application, which you should send with the usual documents (CV, certificates, letter of motivation etc.) in one PDF file by e-mail to the co-spokesperson of the Green Robust Cluster of Excellence, Prof. Thomas Greb, by 05.03.2026, cos@cos.uni-heidelberg.de Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/stellenmarkt.
PhD student (Entgeltgruppe 13 TV-L / 65%; all genders welcome) to join the Chair of Root-Soil Interaction at the School of Life Sciences, Technical University of Munich (TUM). Starting date is 01.04.2026. The position is limited to 4 years. Topic: “Investigating the physiological, biochemical, and molecular responses of maize to con-current biotic and abiotic stresses” Project context The PhD position is embedded in the DFG Research Unit “MultiStress – Concurrent multiple abiotic and biotic stress interactions in maize: impacts and mecha-nisms” (RU 6101). The MultiStress Research Unit investigates how maize responds to interacting abiotic stresses (e.g. drought, nitrogen deficiency, heat) and biotic stresses (e.g. foliar disease or herbivory), and how these interactions affect plant performance across environments. The project follows an integrated experi-mental approach across laboratory, greenhouse, and field scales, combined with advanced phenotyping and data-driven analysis. This PhD project is part of Subproject 2 (SP2), which aims to provide a mechanistic understanding of maize multistress responses at the physiological, biochemical, and molecular levels. SP2 focuses on plant water relations, hormonal regulation (with emphasis on abscisic acid), oxidative stress responses, and their integration with high-resolution phenotyping under single and combined stress conditions. Coor-dinated field experiments will be conducted in Germany and Kenya, offering an international research context. The position will be hosted at TUM, within a highly interdisciplinary and international research environ-ment, and involves close collaboration with partners at the University of Göttingen and Kenyan research institutions. Main tasks • Conducting laboratory, greenhouse, and field experiments on maize under single and combined abi-otic and biotic stress conditions • Measuring physiological traits such as gas exchange, transpiration, leaf water potential, and chloro-phyll fluorescence • Biochemical analyses including phytohormones (ABA), reactive oxygen species (ROS), and antioxi-dant enzyme activities • Molecular analyses related to ABA signalling, including protoplast-based functional assays • Integration of physiological and biochemical data with advanced phenotyping approaches (e.g. ther-mal imaging) • Statistical analysis and interpretation of multi-factorial datasets • Active collaboration with other subprojects within the MultiStress Research Unit • Publication of research results in international peer-reviewed journals Required qualifications • Master’s degree (or equivalent) in plant sciences, biology, crop science, environmental sciences, or a related field • Strong interest in plant stress physiology and crop responses to environmental variability • Experience with experimental plant research • Ability to work independently as well as collaboratively in an interdisciplinary and international team • Very good command of English, both written and spoken Preferred experience and skills (not mandatory) • Experience with plant water relations, plant hydraulics, or hormone signalling • Biochemical or molecular biology techniques • Experience with imaging, phenotyping, or data-driven analysis • Willingness to participate in field experiments, including research stays abroad (Kenya) We offer • A four-year PhD position (65% TV-L E13) within a DFG-funded Research Unit • An interdisciplinary, collaborative, and internationally visible research environment at TUM • Close supervision and training in experimental design, data analysis, and scientific writing • Access to state-of-the-art laboratory, phenotyping, and imaging infrastructure • Opportunities for international collaboration and participation in conferences and project workshops Application procedure Please submit your application in one PDF file, named: Multistress_SP2_Name of Applicant.pdf The application should include the following documents: motivation letter, CV, certificates, and contact details of two references. Applications should be submitted to rsi@ls.tum.de by 28.02.2026.rsi@ls.tum.de For further information, please contact: Prof. Dr. Mutez Ahmed The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Contact: mutez.ahmed@tum.de
We are looking for a research assistant with an M.Sc. degree in Chemistry, Food Chemistry or a comparable field (m/f/d) to join our team. ABOUT US: As a globally renowned institute in the field of brewing, beverage, and grain technology, we strive to be at the forefront of scientific advancement. The development, implementation, and provision of innovative, future-oriented technologies and concepts in this area are essential core aspects of our work. We are convinced that excellent research forms the basis for innovative ideas and groundbreaking solutions for the industry of tomorrow. TASKS: The advertised position has two main tasks: – Working on the research project “Hoptimize – Optimizing the water use efficiency of hops (Humulus lupulus L.) for sustainable hop production” o Completing work packages o Developing a rapid method for measuring valuable hop constituents o Preparing reports and presentations of the results – Supporting the Instrumental Analytics department of the chair o Assisting with the execution of chromatographic analyses of worts, beers, and non-alcoholic beverages according to the relevant experimental procedures of MEBAK and EBC o Operating, maintaining, and repairing laboratory equipment (especially high-throughput analytical equipment) and supporting method development REQUIREMENTS: – Experience in instrumental analytics (HPLC, GC, LC-MS) and, if applicable, prior knowledge in brewing are desirable – Completed Master of Science degree – Computer skills (Word, Excel) – Reliability, commitment, teamwork, independent work style, flexibility – Openness to new Job Description We are offering a part-time position (75%), initially limited to two years. Employment will be with corresponding remuneration according to the Collective Agreement for the Public Service of the German Federal States (TV-L). The opportunity to pursue a doctorate is available. TUM aims to increase the proportion of women in its workforce and therefore expressly welcomes applications from women. Applicants with disabilities will be given preference if they are otherwise essentially equally qualified, capable, and professionally competent. Application We look forward to receiving your application documents. Please send them – quoting the reference “Hoptimize” – by February 28, 2026 at the latest to: Technical University of Munich Chair of Brewing and Beverage Technology Weihenstephaner Steig 20 85354 Freising verwaltung@bgt.wzw.tum.de www.lbgt.wzw.tum.de (If applying by email, please send all documents in a single PDF file.) The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position at the Technical University of Munich (TUM), you are submitting personal information. With regard to this personal information, please note the data protection information pursuant to Article 13 of the General Data Protection Regulation (GDPR) concerning the collection and processing of personal data in connection with your application. By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Contact: verwaltung@bgt.wzw.tum.de
The Chair of Biotechnology of Reproduction, TUM School of Life Science, Weihenstephan, is seeking to fill a 65% position as a Research Associate/PhD Student (m/f/d) as soon as possible. This doctoral project focuses on the generation and characterization of a porcine prostate cancer model for translational research. Using state-of-the-art editing and molecular biology methods, a novel translational model for tumor research is being developed. In collaboration with leading experts in the field, this model will be used to test and develop new therapeutic approaches. Responsibilities: • Development and validation of CRISPR-based genome editing strategies • Performance of embryo manipulation and ex vivo genome editing • Molecular and cellular validation of edited cells, embryos, and tissues • Participation in the generation and characterization of genetically modified animal models • Performance of functional assays to evaluate genome editing results • Analysis, documentation, and presentation of experimental data • Contribution to scientific publications, reports, and presentations • Participation in internal and external scientific meetings Requirements: • Completed degree in veterinary medicine or natural sciences • Interest in scientific questions (research, practical implementation, data analysis, writing publications) • Practical skills in handling animals are desirable but not required • Knowledge in the fields of gene editing, embryology, molecular biology, and bioinformatics is desirable • Excellent written and spoken German and English skills • Teamwork skills, commitment, independence, reliability, and flexibility • Class B driver’s license is an advantage We offer : We offer a varied and interesting job Join a motivated team with state-of-the-art equipment. The opportunity to pursue a doctorate is available. Employment is at 65% of the corresponding salary according to the collective agreement for the public service of the German federal states. The position is limited to three years. Further training opportunities exist to become a specialist veterinarian for laboratory animals or a specialist veterinarian for molecular genetics and genetic engineering. The Technical University of Munich (TUM) aims to increase the proportion of women on its staff and therefore strongly encourages qualified women to apply. Applicants with disabilities will be given preference if their qualifications are otherwise essentially equal. Part-time employment is also possible. Interested? We look forward to receiving your application documents (cover letter, CV, certificates, letters of recommendation, contact information for references); preferably by email as a single PDF file no later than February 28, 2025, to: Technical University of Munich, Chair of Biotechnology of Reproduction, Liesel-Beckmann-Straße 1, 85354 Freising, Germany, sekretariat.btr@ls.tum.de. For scientific questions regarding the project, please contact: Dr. Tatiana Flisikowska, tatiana.flisikowska@tum.de The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position at the Technical University of Munich (TUM), you are submitting personal information. With regard to this personal information, please note the data protection information pursuant to Article 13 of the General Data Protection Regulation (GDPR) concerning the collection and processing of personal data in connection with your application. By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Contact: sekretariat.btr@ls.tum.de
The Werner Siemens Chair of Synthetic Biotechnology, School of Natural Sciences of the Technical University of Munich in Garching, is seeking a chemical laboratory technician, a chemical-technical assistant or a biological-technical assistant (m/f/d) for the Novopro project as soon as possible, for a fixed term until 31.2027. The Werner Siemens Chair of Synthetic Biotechnology focuses on the isolation, characterization, and process-oriented optimization of enzymes and microorganisms for the production of industrial platform chemicals. A key research area is the biotechnological conversion of biogenic residues into valuable materials. This research is conducted in close collaboration with academic and industrial partners. Your tasks: The core of the project involves the development and establishment of optimized systems for efficient enzyme expression and their in- and ex vivo testing. Building on this foundation, high- and ultra-high-throughput screenings are performed to investigate libraries of randomly and selectively generated enzyme variants, with the aim of identifying novel enzymes with improved activity and process performance. Your responsibilities will include, in particular: – Cultivation of E. coli and recombinant protein expression – Molecular genetic and biochemical laboratory work – Development and application of (ultra-)high-throughput screening methods, including the use of microfluidic systems – Performing instrumental analyses – Project-related collaboration with external partners, including willingness to travel to the project partner in Martinsried – Communication with project partners as well as documentation and reporting. Your qualification profile: For this area of responsibility, we are looking for a motivated, team-oriented and meticulous employee with practical knowledge of laboratory work. Requirements: – Completed vocational training as a chemical laboratory assistant, chemical-technical assistant (CTA), biological-technical assistant (BTA), or a comparable qualification – Knowledge of microorganism cultivation (E. coli) and molecular biological methods (e.g., plasmid DNA transformation, plasmid DNA isolation, etc.) – Very good knowledge of German and knowledge of English – Basic knowledge of biochemistry and (bio)informatics Our offer: Employment will be offered with appropriate remuneration according to the Collective Agreement for the Public Service of the Länder (TVL). The Technical University of Munich (TUM) aims to increase the proportion of women in its workforce; therefore, applications from women are expressly encouraged. The position is suitable for applicants with severe disabilities. Applicants with severe disabilities will be given preference if they are otherwise essentially equally qualified, capable, and professionally competent. Application: We look forward to receiving your application documents. Please send this as a PDF file with the subject line “Novopro” by email no later than March 6, 2026 to: To Mr. PD Dr. Norbert Mehlmer bewerbung-wssb@ch.tum.de If you are applying in writing, please only submit copies, as we unfortunately cannot return your application documents after the process has been completed. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
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