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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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qualifications: PhD or equivalent achievement (proof of independent research capability) in Machine Learning, Computer Science, Physics, Mathematics, or a related field Deep theoretical knowledge and extensive
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related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with
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approaches are gaining importance for autonomous vehicles. However, the training and certification of autonomous systems with machine learning components is a huge challenge, since the learned behavior is
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 7 days ago
based on a combination of novel simulation techniques, Bayesian statistical methods and machine learning approaches. The successful candidate will work closely with Prof. Dr. Volker Springel, the director
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University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 PhD student & 1 Postdoc Position Specialized metabolite functions during gut microbial interactions in
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28.10.2025, Wissenschaftliches Personal Open PhD/PostDoc position (TV-L E13) in Cyber-Physical Systems at the Technical University of Munich – Heilbronn Campus to start as soon as possible. Focus
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the Job related to staff position within a Research Infrastructure? No Offer Description We invite applicants for PhD and Postdoc positions on our research topics in physics and chemistry. Details
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal