559 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"DESY" PhD positions in United Kingdom
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expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (usually chemical engineering, but please get in touch if you think your
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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the UK’s net-zero and clean energy ambitions. The role sits at the interface of materials science, chemical engineering, and hydrogen energy. The post involves hands-on experimental research, including
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industry. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Please contact
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would suit individuals with an interest in technology development and computational methods to be applied towards wildlife monitoring and conservation. The student will join two complementary research
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· Select ‘PhD Marine Science (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a
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impact on global environmental remediation strategies. You will join a team of researchers based in the School of Chemistry and in the Faculty of Engineering at the University of Nottingham and you will
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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five-year European Research Council-funded project led by Professor Jan Selby in the School of Politics and International Studies at Leeds. The overall objectives of this project are to contribute
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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