46 computer-science-programming-languages-"Prof" positions at Technical University of Munich
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should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior
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disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
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Priority Programme SPP2311 (German Research Council), the Chair of Numerical Mathematics under the leadership of Frau Prof. Dr. Barbara Wohlmuth is seeking a candidate for a PhD or postdoctoral position (100
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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in Applied Mathematics, Computational Science and Engineering (CSE), or related fields with outstanding academic performance Strong programming skills and experience in languages such as C/C++, FORTRAN
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to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in chemistry, physics, or informatics (candidates that will soon obtain the degree are also welcome
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programming and experience in mentoring and/or supervising co-workers are highly desirable. A genuine interest in the subject matter (food science and multiomics), solid English language skills, self-motivation
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline