84 computer-"https:" "https:" "https:" "https:" uni jobs at Nature Careers in Germany
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communication of research results in stakeholder dialogues with industry actors and policymakers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics, Economics
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: https://uni-tuebingen.de/en/213700 Please submit your entire application using the web-based application platform https://berufungen.uni-tuebingen.de. The deadline for applications is 26 February 2026
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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(RCB), the research focus “Ribonucleases” (https://go.ur.de/rna-biologie ) and the Regensburg Center of Ultrafast Nanoscopy (RUN) also provides a wide range of opportunities for collaboration. Active
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well as two insectaria (BSL-2/BSL-3). Eight research groups are currently based at the Institute of Immunology (IfI). Further information on the IfI can be found at https://www.fli.de/de/institute/institut-fuer
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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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, 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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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