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strong programming skills (e.g., Python, Fortran, C++) Knowledge of data analysis techniques and statistical methods Proven scientific writing and oral communication skills Ability to work both
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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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and execute computational research projects Strong programming skills (e.g. Python) and documented experience building robust computational pipelines in GPU/HPC environments Solid understanding of
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, or a closely related discipline. Demonstrated experience in scientific programming, scientific software development, or data-intensive computing. Experience with Python and at least one high
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jet physics, heavy-ion collisions, and detector performance studies. Experience in scientific machine learning, deep learning, foundation models, or multimodal AI. Experience with GPU programming
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Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: November 1, 2026 Group or Departmental Website: https://med.stanford.edu/s-spire.html (link is external
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HPC resources (NAISS) and local GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science
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Mathjobs.org | 23 days ago
computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 2 days ago
computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The
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quantitative data analysis, statistical reasoning, validation and interpretation of results. Experience with FPGA, GPU or accelerator technologies. Familiarity with high performance or embedded