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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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to develop high performance parallel and matrix/vector RISC-V code from the SYCL programming model Research novel approaches to develop high performance ML kernels from the oneDNN framework targeting long
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of electrochemical reaction kinetics. The position is intended to run in parallel with master level studies at a Swedish higher education institutions and is part of the Chalmers Nano Area of Advances , including
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multicore parallelism with SYCL Lead and contribute to our research on adaptive parallelism with OpenMP Research how to efficiently compile SYCL and OpenMP programs on RISC-V platforms Co-supervise PhD