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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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will participate in multiple parallel projects, including performing DFT calculations on heterogeneously catalyzed reactions, kinetic modelling of catalyzed reactions in the gas- and/or liquid phase
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programming in Python. Knowledge, Skills & Abilities: Strong command of solid mechanics, especially in finite deformation and coupled continuum theories. Proven ability to translate continuum theory into
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 9 hours ago
programming in Python. Knowledge, Skills & Abilities: Strong command of solid mechanics, especially in finite deformation and coupled continuum theories. Proven ability to translate continuum theory into
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modeling, plasma physics, and edge/scrape-off layer transport. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application
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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and
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develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
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systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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management, intermediate representations, or execution orchestration for quantum or heterogeneous computing platforms. Experience with heterogeneous and parallel computing technologies, programming
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future ASIC implementation. You will carry out system modelling, design novel parallel processor architectures at the RTL level (using Verilog/SystemVerilog or VHDL), and drive the hardware-software co