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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in bioinformatics, computational biology, genomics or a
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at the intersection of molecular biology, computational science, and translational oncology, contributing to cutting edge research in the pathology of head and neck cancers. Led by Professor Ali Khurram
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. This project is in collaboration with Prof. Helen Bryant in the School of Medicine and Population Health. You will have a PhD (or equivalent qualification) in a relevant subject and be competent in expertise in
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within and aligned to the core substantive spine of our undergraduate Politics and International Relations programme. The School provides an inclusive, pluralist and friendly place to work. We are also
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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Environmentswithin the EC Horizon programme. The project includes 21 partners in 5 countries coordinated by Tampere University. The UK team includes the University of Sheffield, Sheffield Hallam University and
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experiments and data analysis, write papers, and present your work at conferences and seminars. We seek self-motivated, innovative and creative candidates with a PhD in a relevant field (or equivalent
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theoretical physics, quantum computing, or machine learning and have completed or be in the final stages of a PhD in this or a related discipline. Main duties and responsibilities Design and analyse quantum
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria Have completed or be near to completing a PhD in a relevant discipline (ecology