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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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on high-performance computing (HPC) facilities and adapt softwares to do so. Develop, benchmark, and troubleshoot new computational approaches, including implementing novel workflows, protocols, and
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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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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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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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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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simulations of concentration-driven membrane permeation processes. This innovative integrated computational approach we aim to develop will be performed in tandem with a strong interaction with several
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied