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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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for a postdoctoral research position in the fields of linear algebra and high-performance computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects
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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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for a postdoctoral research position in the fields of linear algebra and high-performance computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects
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positions in High-performance computation and machine learning, Chemical Physics, Physical Chemistry, Nano-science, Biophysics, Statistical Physics and Complex Systems. The positions are normally for one year
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Title: Postdoctoral Research Associate: High Performance Cloud Computing Laboratory (HPCC Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. We invite applications for a postdoctoral research position in the fields of linear algebra and high-performance
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of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in
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research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 7 hours ago
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