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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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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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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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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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. 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
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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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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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- Postdoc, PhD Student (f/m/d) for Polymers in Energy Applications at HIPOLE Jena Your Tasks Synthesis and characterization of novel molecules and polymers for use in energy storage and conversion devices
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 10 days ago
the microbial metabolism, with applications in metabolic engineering and bioprocess optimization. Your tasks For two interdisciplinary research projectsin the field of computer-aided metabolic engineering, we