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leadership-class computing systems and institutional clusters. Write robust Linux bash scripts and job submission scripts for SLURM and PBS environments, including multi-node GPU/CPU workflows, monitoring
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field closely related to the job duties of this position. Preferred Requirements: The prospective candidate should be well-versed with deep neural networks, have experience working on PyTorch or similar
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Engineering, Computational Science, or a field closely related to the job duties of this position. Preferred Qualifications: Strong background in scientific AI/ML, computational fluid dynamics, turbulence
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commercial CFD codes such as STAR-CCM+, ANSYS or COMSOL. Knowledge of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common
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Qualifications: A Ph.D. in materials science and engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years. A strong background in mechanical behavior of materials is
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relevant to the job duties such as physics, mathematics, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte
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Qualifications: Ph.D. in materials science and engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years. A strong background in mechanical behavior of materials is