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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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/disaggregation in dynamic programming, decompositions and stochastic programming, competitive analysis, hybrid combinatorial and AI solution approaches) · Integrated supply chain planning (topical side: e.g
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 24 days ago
research in applied topology, including topological data analysis, stochastic topology, network analysis and computational topology techniques —with a view towards open problems in the life sciences
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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