64 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P" "https:" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
for the treatment of infectious diseases. As part of the structured doctoral program International Leibniz Research School ILRS 2.0, we invite talented candidates to apply for 9 Doctoral Researcher (m/f/div
-
and investments. The National Center for Tumor Diseases (NCT, https://nct.dkfz.de/en/index.html ) is a long-term cooperation between the German Cancer Research Center (DKFZ), excellent partners in
-
Job Advertisement HKI-52/2025 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI): https://www.leibniz-hki.de/en/#, we research the pathobiology
-
establishes strong pipelines towards clinical application and economic innovation. Further information can be found at https://dktk.dkfz.de/en. We seek to appoint an independent junior research group leader
-
found at: https://www.cssb-hamburg.de/. A commitment to teaching students, especially in the model degree program "HannibaL" in human medicine, in the degree program in dentistry, and in the bioscience
-
). This project is funded by the DFG priority program SPP2474, which aims to discover new gene functions in human microbiome members (see https://spp2474.de). More information about ongoing research in
-
The International Max Planck Research School for Molecular Plant Science (IMPRS MolPlant) is a doctoral programme in plant science at the Max Planck Institute of Molecular Plant Physiology and the
-
lead an independent research program that is both ambitious and innovative, aligning with the overall focus of the RVZ. Your research should ideally complement and expand ongoing collaborative
-
://www.charite.de/en/ , https://www.bihealth.org/en/ , https://www.mdc-berlin.de/ Overview of the position Researchers at the AI Research Program will benefit greatly from the outstanding research environment across
-
data. This position offers an exciting opportunity to work at the intersection of cancer biology, spatial multi-omics, and artificial intelligence. More information: https://digitalhealth.tu-dresden.de