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automatic formal verification of cyber-physical systems. The Technical University of Munich is one of the top research universities in Europe fostering a strong entrepreneurial spirit and international
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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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disabilities will be given preference. Formal appointment procedures will be carried out by the University’s Central Administration. Back
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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/forschung/gruppen/numerical-analysis/research/ Typical responsibilities you can expect: Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches Formal proofs, e.g
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification