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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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calculus, linear algebra, probability and statistics, and possess strong proficiency in mathematical thinking and abstract reasoning. Cellular, biochemical, molecular experimental skills Experience working
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 4 hours ago
learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork skills Point of Contact Mikeala Eligibility
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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of numerical quantum many-body methods to study model Hamiltonians. Strong background in linear algebra. Preferred Qualifications: Experience with density matrix renormalization group and tensor network
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). A deep foundation in advanced mathematics, including differential equations, linear algebra, tensor calculus, and group theory; and the ability to use these for formal, mathematical reasoning
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practices such as unit testing and CI/CD Experience with MPI, Kokkos, OpenMP, CUDA/HIP Experience implementing or optimizing scientific libraries such as Linear Algebra Libraries, Solvers, FFTs/cuFFT