Fixed-term
Postdoctoral Researcher position in systems neuroscience
Job description: to investigate the neural basis of adaptive sensorimotor behaviors using in vivo high-dimensional neurophysiological recordings in mice to determine the direct contribution of specific circuit elements to sensory processing, motor planning and control through advanced data analysis to investigate mechanisms of how the brain-wide circuits interact in vivo through simultaneous recordings with multiple Neuropixels probes and in combination with two-photon calcium imaging to collaborate within a multi-disciplinary team and take responsibility for research progress and research reporting, presentations at scientific meetings etc. to contribute to the development of data analysis methods and the fostering of international collaborations to contribute to teaching students (mentoring will be provided) 4SWS Requirements profile: Completed academic university degree (Master/Diplom) and PhD in a neuroscience-related field and a strong quantitative background Highly advantageous experience includes: – in neurophysiological in vivo recordings – behavioral paradigms in neuroscience – advanced data analysis – histological processing and microscopic imaging of brain tissue (to verify recording sites) experience in programming with Python and knowledge of statistical methods is required excellent language skills in English (German language skills are welcome but not essential) confidence and motivation to develop data analysis techniques and to drive research projects forward This is a fixed term post, initially for three years, but can be potentially extended for another three years. If you have questions about the advertised position, please contact Prof. Jens Kremkow (jens.kremkow(at)ovgu.de). For further information about the research groups, please see www.kremkowlab.com and www.pakanlab.com . The Otto-von-Guericke University Magdeburg, with its associated institutes, has an internationally renowned scientific profile in Neuroscience. Magdeburg is a vibrant and multidisciplinary scientific environment offering a broad range of opportunities for cutting-edge neuroscience research. You will benefit from our structures and offerings in the fields of sustainability, diversity, family support and staff development. Our location in the center of a thriving, lively and family-friendly state capital guarantees a high quality of life and a wide range of leisure activities. For more information, please visit www.ovgu.de/en/karriere. Otto von Guericke University Magdeburg is a signatory of the German Diversity Charter. We welcome your application, regardless of gender, cultural and social background, age or sexual orientation. Applications from severely disabled people or people with an equivalent impairment will be given priority in the case of equal suitability, ability and professional expertise. Otto von Guericke University Magdeburg strongly promotes gender equality in all professional areas. Please note the information for storage of personal data: https://www.ovgu.de/unimagdeburg/en/data_protection-p-66790.html Please send your complete application (motivation letter, curriculum vitae, graduation certificates, references) by May 31, 2026 using the online application portal. Apply Now
Research Associate (PhD/Postdoctoral Researcher) position for computer-based experiments to decipher the transcriptional program responding to stress in plants
In the Computational Biology research area, gene regulatory networks are generated using machine learning methods, and the resulting hypotheses are tested in the laboratory. This research project develops gene regulatory networks using machine learning methods in collaboration with experimental research groups in the USA and the UK. The complex regulatory program in plants responding to abiotic stress is deciphered from bulk RNA seq and single-cell ATAC seq data. A variety of machine learning methods are employed, with a particular focus on the explainability of the generated models.The successful candidate will conduct computer-based experiments to decipher the transcriptional program responding to stress in plants. The results will be analyzed and discussed in close collaboration with the research partners. Your tasks Research tasks (90%): Application of machine learning methods to create gene regulatory networks, including pre- and post-processing and the extraction of relevant features for prediction. Comparative analyses in genomes and subgenomes Teaching duties (5%): Participation in teaching events of the working group Other tasks (5%): organizational participation in the work area The position is conducive to academic qualification, and opportunities for further academic (or even professional) development are provided. Pursuing a doctorate while in the position is possible. our range Remuneration according to E13 TV-L limited to 3 years (§ 2 para. 1 WissZeitVG; in accordance with the provisions of the WissZeitVG and the agreement on good employment conditions, a different contract duration may apply in individual cases) Full-time internal and external training opportunities A wide range of health, counseling and prevention services Reconciling family and career flexible working hours 30 days of vacation with a 5-day work week and additional days off on December 24th and 31st. good transport links Occupational supplementary pension scheme (VBL) collegial cooperation open and pleasant working atmosphere exciting and varied tasks Your profile That’s what we expect Completed relevant academic university degree (e.g. Master’s or equivalent) in biology, computer science or related subjects. Completed relevant doctorate (if employed as a postdoc) Experience in the application of machine learning methods documented by relevant publications or theses advanced knowledge of Python good English skills, both spoken and written independent, responsible and dedicated work strong organizational and coordination skills cooperative and team-oriented work style That’s what we want. Experience in the analysis of biological data Experience in analyzing data from plants Experience in the creation of scientific publications Interested? We look forward to receiving your application. Please preferably use our online form, which you can access via the “APPLY NOW” button below. Application deadline: June 11, 2026 ContactProf. Dr. Andrea Bräutigam0521 106-8753andrea.braeutigam@uni-bielefeld.deAddress:Bielefeld University,Faculty of Biology,Prof. Dr. Andrea Bräutigam,P.O. Box 10 01 31,33501 Bielefeld Application Form
Bioengineer position – Genomics
The Department of Human Genetics is active in the field of modern human genetics research and diagnostics, with a particular focus on NGS-based methods and large-scale genome analyses. The department has a high-performance automation infrastructure, including liquid handling systems from Hamilton and MGI Smart 8, which is continuously being expanded. Your tasks: Development, implementation, optimization and automation of genomic workflows Operation, validation and troubleshooting of liquid handling robots (e.g. Hamilton, MGI Smart 8) Development and validation of new genomic protocols for research and diagnostics Performing fault analyses as well as routine maintenance and quality assurance of laboratory equipment Creation and maintenance of protocols (SOPs), validation documentation and quality assurance records in accordance with DAkkS. Support in implementing LIMs workflows for existing and new protocols Training of junior staff and students Evaluation of new methods and technologies and support for their implementation in the Core Facility Your profile: Master’s degree in life sciences, biology, biotechnology, bioengineering or related fields Demonstrable practical experience in laboratory automation Demonstrable practical experience in the development and validation of NGS-based methods Demonstrable practical experience in DNA/RNA extraction from various tissues Extensive experience with NGS workflows and/or high-throughput genomic assays At least 2 years of professional experience in a regulated genomics laboratory (ISO, DAkkS) Experience with LIMS-based tracking Strong analytical skills and structured problem-solving competence Independent, reliable and team-oriented work ethic Excellent written and spoken German and English skills We offer: Extensive training and further education opportunities A diverse range of sports activities with around 100 sports and a university-owned fitness studio. Discounts for bicycle rental systems and bicycle purchases 30 days of vacation per year Paid leave of absence on Christmas Eve and New Year’s Eve Annual bonus Company pension scheme A challenging task in an environment of scientific excellence Opportunities to participate in a variety of research and diagnostic projects in the field of human genetics Access to state-of-the-art genomics and automation infrastructure Opportunities for professional and personal development Remuneration in accordance with the applicable collective agreements of the public service. A supportive, collegial and cooperative work environment Further information: Employment is on a salaried basis and is governed by the collective agreement for public sector employees of the German states (TV-L). Upon fulfillment of the personal and collective agreement requirements, the position will be classified in pay group 13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ . The place of work is the Ruhr University Bochum. Ruhr University Bochum (RUB) is one of Germany’s leading research universities. As a reform-oriented campus university, it uniquely unites the entire spectrum of major academic disciplines in one location. The dynamic interaction between subjects and academic cultures offers researchers and students alike exceptional opportunities for interdisciplinary collaboration. RUB stands for diversity and equal opportunities. Therefore, we promote collaboration in diverse teams and the career development of individuals who are underrepresented in their respective fields. RUB explicitly encourages applications from women. In areas where they are underrepresented, they will be given preferential consideration if equally qualified. Applications from people with disabilities are also very welcome. Contact persons for further information: Prof. Dr. Nguyen, Tel.: +49 234 32 23839Ms. Kowalczyk 0234 32 18483 Unfortunately, travel expenses, accommodation costs, loss of earnings, and other application costs for job interviews cannot be reimbursed. Apply Now