55 computer-science-data-warehouse Postdoctoral positions at Oak Ridge National Laboratory
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system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer
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capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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through papers, artifacts, and presentations at top-tier venues. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, a physical/computational science discipline (e.g., physics, chemistry
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, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis
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Qualifications: Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years. Demonstrated expertise in computed tomography (CT), with experience in sparse-view and
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system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer
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analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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Requisition Id 15337 Overview: We are seeking a Postdoctoral Research Associate who will focus on applying computational methods in the areas of interfacial chemistry of rare-earth elements