17 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" scholarships at University of Surrey
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of all these excited states could be used, while in practice, a statistical approach to their distribution is often sufficient, or most practical. Quantum computing approaches to nuclear level density
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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Quantum materials underpin key emerging technologies in quantum computation, sensing, and low-energy electronics (e.g. topological insulators, topological superconductors, spin liquids, superfluid
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adapt quickly to new methods and technologies will be highly valued. How to apply Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research
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to apply Applications should be submitted via the Chemistry PhD programme page. In place of a research proposal, you should upload a document stating that this application is to the RAPTOR Nuclear Skills DFA
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Surrey Hospitality and Tourism Management (SHTM) invites applications for a studentship within its PhD programme in Hospitality, Tourism, Transport and Events. Open to both UK and international
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative