163 parallel-computing-numerical-methods positions at Technical University of Munich in Germany
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we
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parameters to understand hydraulic thermal processes, develop innovative monitoring systems, evalua-tion and implementation methods like geothermal potential assessment as well as numerical reservoir modelling
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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from the perspective of flight mechanics and fluid mechanics. A sound experience in programming in C/C++ and Cuda is very desirable, the motivation to independently develop, implement and test numerical
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31.07.2023, Wissenschaftliches Personal Within the Joint Academy for Doctoral Studies (JADS) program of Technical University of Munich and Imperial College London, the Professorship of Energy
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techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. The corresponding reaction mechanisms
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. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning