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position for candidates interested in interpretable AI, stochastic optimal control, deep learning and high-impact research in sustainable mobility. About us The position is located at the Systems and Control
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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systems. There are virtually no satisfactory ways of exhaustively ensuring and demonstrating that these stochastic systems meet the demonstrable, repeatable, and predictable expectations of existing safety
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to the success of the whole institution. At the Faculty of Mathematics, the Institute of Mathematical Stochastics offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, the Institute of Mathematical Stochastics offers a position as Research Associate / PhD Student (m/f/x
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap
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thermochemical TES. Your main supervisor will be Prof Adriano Sciacovelli and you will join the Thermal Energy Section at DTU Construct. Your work will contribute to a paradigm shift in how complex TES systems
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Anemometry (LDA), and Particle Image Velocimetry (PIV). Extend existing in-house wind field models (based on stochastic differential equations such as Langevin or Fokker-Planck types). Integrate novel
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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31.03.2025, Wissenschaftliches Personal The Supply Chain Management Research Group at the Center for Digital Transformation of the TUM School of Management, Campus Heilbronn, Prof. Dr. David Wuttke