155 parallel-computing-numerical-methods positions at Technical University of Munich in Germany
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programming skills and experience in C++ and Python. • Knowledge (acquired during a Master's program / Dissertation) in numerical methods and simulation, particularly for partial differential equations. • Basic
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, alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math
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Master's program / Dissertation) in numerical methods and simulation, particularly for partial differential equations. Basic knowledge in mathematical modeling with/and partial differential equations, with a
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will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
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knowledge of energy system modelling or climate modelling Good knowledge of PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary collaboration Relevant
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04.04.2025, Wissenschaftliches Personal The Chair for Computer Architecture and Parallel Systems (CAPS) offers this position as part of the DARE-project funded by the EuroHPC JU bringing together
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excellent team. Background and/or knowledge in at least one of the following areas: Fluid Mechanics, Acoustics, Combustion, Control Engineering, Dynamic Systems, Numerical Methods. Experience in scientific
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm
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will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
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18.09.2024, Wissenschaftliches Personal We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs