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Field
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in chemistry, physics, or related field. At least 2 years of experience developing quantum Monte Carlo algorithms. Strong problem-solving and analytical skills. Python programming experience. GPU
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, computational algebra, logic and programming languages. The department is housed in the newly constructed Science & Innovation Center which boasts Data Center with High Performance GPU Cluster and state
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to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished alumni. -strong and growing corporate relationships
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GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
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, such as GPUs and FPGAs, to offloading applications in a seamless and portable way. This includes implementing runtime logic and resource scheduling strategies that can leverage available hardware
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Engineering, or a related field Strong experience in building and optimizing AI systems using PyTorch, TensorFlow, or JAX Practical knowledge of NVIDIA GPU programming (CUDA) and experience with inference
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): Programming: HPC (GPU), MPI Fortran / C, C++ Kokkos, Python, Perl Solar physics (numerical modelling with Lare 2d, 3d / MURaM / Bifrost / R2D2) Experience working with large-scale datasets, ensuring efficient
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managing and administering an NVIDIA DGX SuperPod instrument. You and another HPC administrator will partner closely with a team of data scientists from Stanford Data Science to ensure that the GPU cluster
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partner for Boston College faculty, research departments, and programs in advancing the Boston College research mission, and will work with the director develop long-term plans to support faculty research
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-performance computing, including parallel or GPU programming (MPI, OpenMP, CUDA, Kokkos, etc.) Familiarity with modern software development practices, including debugging, profiling, and version control