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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
University. Project description This fellowship forms part of the Novo Nordisk Foundation-funded project “Deep Learning-Accelerated Crystallography Pipeline”, a collaboration between Durham University
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Acikalin – (Newcastle University) Tom Reershemius- (Newcastle University) Stuart Jones – (Durham University) Eligibility criteria You must have, or expect to gain, a minimum 2:1 Honours degree
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. Delivered in collaboration with Intel, including industrial co-supervision. The student will work with Durham University academic supervisors and an Intel co-supervisor on compact Physical AI, data-efficient
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with Durham University academic supervisors and an Intel co-supervisor on research in Physical AI, edge AI and intelligent autonomous systems. Closing date: 15 August Overview AI is shifting from passive
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is a collaboration between Durham University and Imperial College London, supported by a world-class international advisory board including The Crown Estate, Equinor, DNV, and ORE Catapult. As multi
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Acikalin – (Newcastle University) Tom Reershemius- (Newcastle University) Stuart Jones – (Durham University) Eligibility criteria: You must have, or expect to gain, a minimum 2:1 Honours degree
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Earth Sciences and Energy Transition Geological storage of CO₂ is recognised as a key technology for achieving net-zero greenhouse gas emissions. The UK possesses almost one-third of Europe's estimated geological CO₂ storage capacity, with the Southern North Sea (SNS) representing one of its...