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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
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of Medicine as well as the University of Colorado Boulder. Scientists from your group will join cross-institutional lab meetings and have the option to visit collaborators on-site to acquire new technical
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04.02.2026, Academic staff The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers exciting Ph.D. and Postdoc opportunities in the cutting-edge field
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner using comparative panel data and
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learning, safety-critical control, probabilistic modeling, verification, or optimization; Excellent communication skills in English and the ability to work both independently and collaboratively in
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
learning. It also offers the opportunity to work with data from the European XFEL facility at DESY. Project website Your profile Eligible candidates have strong skills in computational physics and
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
, Zurich, Taipei etc.) to understand existing approaches and datasets of natural and designed proteins # Collaborate in the research team on other questions of machine learning, functional genomics, and