328 cloud-computing-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: The genetic and developmental control of complex nanostructure formation in butterfly wing scales
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, Computer Science, or related field (assessed at: application) Proven experience in data analysis, business intelligence, or related analytical role (assessed at: application/interview) Strong skills in data
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and delivery of a variety of projects and programmes. Ownership and support / preparation of project and programme budgets, in collaboration with Research Engineers to ensure they are not exceeded and
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from intracranial haemorrhage (ICH) — a life-threatening condition often caused by trauma. The project forms part of a Royal Academy of Engineering Research Fellowship programme led by Dr Xiancheng Yu
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research team and aligning the day-to-day work and goals of the team with research objectives Essential Application/interview Ability to work with computer software, scientific databases and online resources
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Museum, London, and Professor David Johnson at Lancaster University, working at the interface of experimental and computational approaches. The project explores how mycorrhizal fungi influence plant
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Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng)
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programme, you will have the opportunity to gain real world experience of the technical and non-technical challenges associated with decarbonisation of heat through placements with South Yorkshire Mayoral
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high-dimensional datasets that hold promise for earlier and more accurate diagnosis. These are often analysed with modern computational approaches such as machine learning, which can highlight hidden
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that underpin segregation and performance degradation. The project will be a combination of analytical theory and computational modelling. The successful applicant will be embedded in both the theory group