57 computer-science-programming-languages-"UCL"-"UCL" Postdoctoral positions at Oak Ridge National Laboratory
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networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods
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respectful workplace – in how we treat one another, work together, and measure success. Required Qualifications: PhD in Nuclear engineering, computer science, applied mathematics, or a related field completed
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. Familiarity with Python programming. Experience with modern software development practices to ensure code quality. Experience with computational geometry. Excellent written and oral communication skills
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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working at the intersection of material science, advanced manufacturing, and digital manufacturing Programming skills using Python or modern C/C++/C# Demonstrated experience conceiving and executing
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including
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Experience with numerical computing using programming languages such as C++, Python, etc. Author or co-author of open literature publications Special Requirements: Applicants cannot have received their Ph.D
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complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research
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of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including