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- 
                Field
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                willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis 
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                the scientific landscape of the institute. You will be part of an innovative project in the field of High Performance Computing, with an emphasis on scientific work rather than client project work. All five team 
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                07.08.2025, Wissenschaftliches Personal The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational 
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                Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 4 hours agoof novel algorithmic methods at the interface of discrete algorithms and high-performance computing Investigation of the algorithms’ theoretical properties Research software engineering (implementation 
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                Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: ATLAS Area of research: Scientific / postdoctoral 
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                Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 15 days agosizes and advanced learning paradigms In addition, you will serve as a key contact person for researchers at the MPI-CBS, supporting them in efficiently leveraging the high-performance computing (HPC 
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                strong expertise in biophysics and soft matter. INDUSTRY COLLABORATION: Benefit from direct integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage 
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                on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic 
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                and soft matter. INDUSTRY COLLABORATION: Benefit from direct integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational 
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                energy into acoustic waves, which can then be used to generate electricity or manage heat at the microscale. The goal is to improve the performance, efficiency and scalability of these microscale systems