154 parallel-and-distributed-computing-"DIFFER" positions at Technical University of Munich in Germany
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that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs
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(https://www.icos-cp.eu/projects/icos-cities ) Design and implementation of suitable algorithms, using the High Performance Computing infrastructure at Leibniz Rechenzentrum (LRZ) Analysis of ground-based
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of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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very good master's degree in a topic-related field (computer science, automotive engineering, electrical engineering) Experience in scientific work, project acquisition as well as management experience
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and satellite-based remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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26.07.2023, Wissenschaftliches Personal The Professorship for Cellular Agriculture (Prof. Dr.-Ing. Marius Henkel) was established in September 2022. Cellular agriculture is a multidisciplinary field that explores biotechnological solutions to the environmental, ethical, and sustainability...
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engineering, computer science or electrical engineering, with good grades. Experience in scientific work, project proposal writing and team leadership are part of your repertoire. In addition, you are
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computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million