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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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bachelor and master programs, explicitly in the newly established M.Sc. program Human Factors Engineering. Qualifications We are looking for candidates who have demonstrated excellent achievements in
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natural cognitive systems and develops novel methods of human-machine interaction. Our interdisciplinary team combines expertise in computer science, electrical engineering, psychology, and neuroscience
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tenured W3 position. ScientificEnvironment The professorship will be assigned to the Department of Engineering Physics and Computation at the TUM School of Engineering and Design. Responsibilities
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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competitive doctoral programme provides cutting-edge methods and advanced theories in the hub science Psychology of Transformation as well as the following 5 interdisciplinary Key Subject Areas: Climate Futures
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The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
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, computer engineering, or a comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis Structured, independent