107 high-performance-computing-"Multiple"-"Prof" Postdoctoral positions in United States
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experience with high performance computation will be strongly advantageous. Applications, including a CV, a statement of research interests, and three letters of reference, should be submitted through
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions
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computational data analysis. With guidance and support from the supervisor, the postdoctoral associate is expected to lead a project within their scientific discipline and collaborate with other researchers
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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as