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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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of Biology and Physics, the Max Planck Institute for Polymer Research, the Max Planck Institute for Chemistry, the Institute for Molecular Biology, and the Mainz University Medical Center. Wilken Lab: Life
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reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling. Central to its
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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of cancer evolution (Aitken 2025). We also repurpose technologies like microfluidics to better understand the molecular landscape of the earliest mitoses after mutagenesis (Ginno 2024). Your Tasks: We
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prescise molecular mechanisms underlying the tumorigenic effects of mutant IDH1 remain elusive. The successful candidate will use established in vitro and in vivo models of mutant IDH1 to assess the early
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for Molecular Medicine in the Helmholtz Association, founded in 1992, today inspiring and nurturing a diverse talent pool of 1,800 people from over 70 countries. We are 90 percent funded by the German federal
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plan that focuses on the development and combination of 3D-generative models and potency predictions for drug design. A successful research proposal to our question will focus on these topics: How
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investigating the molecular mechanisms of aging and the occurrence of age-related diseases. Our aim is to create the basis for new approaches in medicine as a way to improve the health of the elderly (www.leibniz
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the structure of energy materials on the atomic, molecular and