154 computer-"https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in Germany
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for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital
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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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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
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are proud to work together in a truly integrating manner. Our partners, e.g. University of Hamburg, the Max Planck Institute for Meteorology or the German Climate Computing Centre are also hiring. All jobs
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, or quantitative behavioral biology etc. The position is intended to strengthen the faculty’s research focus on “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions), ideally collaborating
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Cluster of Excellence – SubCellular Architecture of LifE (https://scale-frankfurt.org ) at the Faculty of Biochemistry, Chemistry and Pharmacy. This civil servant or public employee position will commence
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a
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diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide chemistry is required, as well as a
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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
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Cell Biol 160, 223–251 (2023). https://doi.org/10.1007/s00418-023-02209-1 Virshup, I., Bredikhin, D., Heumos, L. et al. The scverse project provides a computational ecosystem for single-cell omics data