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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 7 days ago
from Prof. Dr. Michael Rychlik (Academic Program Director and researcher in Food Chemistry and Sustainable Food), please send your request to applicationB9.alchem@ls.tum.de . If you are applying from
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