204 computer-science-programming-languages-"St"-"St" positions at Technical University of Munich
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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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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics Group at the TUM School of Life Sciences, Technical University of Munich studies how ecosystems change in time and space. We quantify
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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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part of the School of Computation, Information and Technology (CIT) of TUM. The position is for 2 years and follows state regulations in accordance with the Collective Agreement for the Public Service
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to increase resilience of opera-tions. Your contribution In close cooperation with the TUM chairs of Operations Management and Mobility Systems Engineering as well as experts from Lufthansa and Airport Munich
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, and microscopy. Prior knowledge and practical experience with CRISPR-Cas9 in plants and/or molecular biology in plant-pathogen interactions are desirable. Proficiency in English, both written and spoken
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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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to revolutionize the research field in 3D learning. Qualification: - Applicants for a PhD must hold a Master’s degree in computer science or equivalent - Fluent written and spoken English skills are essential
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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