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-aware code acceleration paradigms (OpenCL, CUDA, SYCL, etc.) Track record of open-source code contributions Strong motivation, with evidence of independent research skills relevant to the project Personal
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experience with solving large linear systems (e.g. numpy) and large-scale inverse/optimization problems (e.g. scipy, cvxopt, pylops, …). Experience with large data sets and GPU computing (e.g. CUDA); and/or
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testing in C, C++, LAMMPS, Open MPI, and/or CUDA Analyze and interpret the results and design of further computing experiments Publish research in high-impact journals and present at leading international
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