48 engineering-computation "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs at Nature Careers in Germany
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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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applications for the AG Liesz on the 1st April 2026, in full time, for Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology – ERC funded (m/f/d) Scope of duties A postdoctoral
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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, please note that you may have to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position, please contact Dr
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position, please contact Dr
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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on ‘Target Screening and Immunoreceptor Engineering’. We utilize cutting-edge fluorescence imaging modalities, namely single-molecule localization microscopy (SMLM), lattice light-sheet microscopy (LLSM), and
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postdoctoral fellows to conduct interdisciplinary research on the interactions between fungal pathogens and microbial ecosystems within the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany
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Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human