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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 17 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of future communication networks”. TU Dresden and the Technical University of Munich have joined forces to form the 6G-life research hub in order to drive cutting-edge research for future 6G communication
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 9 hours ago
or Postdoctoral position (m/f/d) - Interpretable Machine Learning for Catalytic Reaction Network Discovery. A full-time PhD or Postdoctoral position is available in a collaborative Max Planck research
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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-Quantencomputern und Rydberg Atom-Arrays • Numerische Methoden mit Tensornetzwerken • Topologische Ordnung und (de)confinement in string-net Modellen • Quantenfeldtheorie, Gitter-QCD Bitte senden Sie Ihre Bewerbung
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through soft, disordered materials, including auto-regulated networks, composite soft solids, and exotic photonic biomaterials. The lab has two fully funded PhD and/or postdoctoral positions available
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. German language is not required. The successful candidate will have the opportunity to work on an exciting and diverse project within a nationwide research network, with numerous opportunities for development
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and diverse project within a nationwide research network with numerous opportunities for development, working within a dynamic and international team of scientists from various disciplines, as
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and strengthen their skills to supervise (future) doctoral students and to establish professional networks through contact with other Pre-Doc awardees both awardees to participate in a wide framework
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification