60 assistant-professor-computer-science-data-"Multiple" Postdoctoral positions at Nature Careers in Germany
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with an annual research budget of 3.4 billion euros. The Fraunhofer Institute for Molecular Biology and Applied Ecology IME conducts applied life sciences from the molecule to the ecosystem. It is our
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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Infection Biology (www.leibniz-hki.de I https://www.leibniz-hki.de/en/ ) have launched the SynThera initiative (www.synthera.eu ) funded by the Carl Zeiss Foundation, which aims to design, create, and deploy
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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Postdoctoral Researcher (gn*) Life Science Reference Number: 10899 Fixed term of 3 years | Full time with 38,5 h | Salary Grade TV-L E13 | European Institute for Molecular Imaging We are UKM. We
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an attractive drug target. The position is funded by an Emmy Noether DFG grant and aims to combine single-molecule localization methods and cell biology to decipher the stoichiometry and dynamics of plexin
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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Job Advertisement HKI-38/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human
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: ausschreibung10-25@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11 37077 Göttingen