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Mathjobs.org | about 1 month ago
the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science
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the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science
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to join as scientific leaders and researchers. The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a
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Job Description Job Alerts Link Apply now Research Fellow on AI4SCI, School of Computing University-Level Unit: School of Computing Faculty/Department-Level Unit: Department of Computer Science
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 2 hours ago
outstanding research potential in scientific machine learning, numerical analysis, scientific computing, or related areas. Strong scientific computing skills are essential. Prior experience in weather
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mathematics and scientific computing? Are you passionate about impacting problems of national importance? If so, envision the opportunities as Sandia's next John von Neumann Postdoctoral Fellow. We
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading
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). Experience using high-performance computing (HPC) environments or cloud computing platforms. Excellent analytical, problem-solving and scientific communication skills. Req ID: 33902 Apply now
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Job Description Job Alerts Link Apply now Research Fellow, School of Computing University-Level Unit: School of Computing Faculty/Department-Level Unit: Dean's Office (School of Computing) Employee
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Qualifications Strong expertise in agentic scientific machine-learning, advanced analysis of fluid mechanics, dusty plasmas, scientific computing, and multi-scale modeling methods are preferred