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position is supported by the U.S. National Science Foundation through U.S. National Science Foundation under Cooperative Agreement No. 2433450. Continuation of this position is contingent upon performance
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, ecology, microbiology, engineering, bioinformatics, data mining, parallel programming, supercomputing, or cloud computing. Application Instructions How To Apply Interested individuals should send
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Experience in multiphysics modeling Experience in parallel programming on large-scale computational clusters Expertise in Matlab programming Active TS/SCI Clearance is preferred Special Requirements
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Python programming and experience with a major deep-learning framework such as PyTorch or TensorFlow; experience with MATLAB, C++, GPU computing, or parallel processing is advantageous. Experience with 3D
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
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active risk management / disruption prevention algorithms. Nonlinear trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows
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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 13 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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hybrid HPC and cloud computing platforms. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash
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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