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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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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
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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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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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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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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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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