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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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can derive by hand and build up to large-scale calculations. You will need a background in condensed matter physics / quantum mechanics and an interest in coding (Python); no prior experience with
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, Computer Science, or a related field. At least two years of postdoctoral or equivalent research experience, with a strong record of peer-reviewed publications. Strong programming and computational skills in Python
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participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira José Lima Inês Sena 11. Method of publication
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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that candidates possess expertise in some (but not all, or even most) of the following areas: A strong mathematical background Ability to program in MATLAB, Python, or a similar scientific programming language
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characterization is an advantage. Experience with quantitative data analysis and programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently