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, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
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or industry. Network-wide Training Events will provide complementary knowledge, multidisciplinary experience, and transferable skills: ethics & research integrity, scientific writing, communication
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