21 computational-physics-"https:"-"https:"-"UCL"-"UCL"-"UCL" Fellowship positions at University of Stavanger
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invites applicants for a position as Postdoctoral Fellow in Computational Materials Science at the Faculty of Technology and Science, Department of Mathematics and Physics The position is vacant from August
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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of Electrical Engineering and Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and
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Qualification requirements We are looking for applicants with a strong academic background who have completed a five-year master degree within energy engineering, physics, cybernetics, computer
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Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the
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of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department of Energy and Petroleum Engineering, Department
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of Electrical Engineering and Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and
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doctoral degree. The hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on
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that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Health and
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fields (e.g., public opinion & market research, policy consulting). The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about