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., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science very good programming skills in C, C++ fluency in English, knowledge of German would be a
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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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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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Design Technology in Berlin has stood for excellence in production science. We are dedicated to bridging the gap between science and practice in the field of industrial production and offer application
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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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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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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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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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interdisciplinary and transdisciplinary research at the interface between data science, life sciences, and bioeconomics. The professor will closely cooperate with the TUM School of Computation, Information and
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initiatives, Collaborating with and training of scientists within TERRA projects in the field of research-data management. Candidates should have completed an MSc in natural or computer sciences, should have