659 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
: Candidates must have a first or upper second class honours degree or significant research experience. How to apply: Please complete a University Postgraduate Research Application form available here: https
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numerical methods, the project aims to produce mechanism-based, predictive constitutive models suitable for safety-critical and extreme-condition applications. Particular emphasis will be placed on robust
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of computational microscopy, a field where foundational techniques developed at Sheffield have already contributed to a Guinness World Record. The Challenge: conventional microscopes are limited by
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online provision of the pre-sessional courses you will need: a modern laptop or desktop computer in very good working order (Windows 11 or macOS Tahoe 26.1 preferred) a headset (strongly recommended) or
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Canada. Please also see our website for more information about our lab: http://www.claudiavonbastian.com Funding Notes Self funded or externally sponsored students only. Intakes are usually October and
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and Trevor Vickey as contact persons. The projects are open to home and international candidates but international students may need to secure funding to pay fees and living expenses. Applications
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named supervisor, please use Kristin Lohwasser and Trevor Vickey as contact persons. The projects are open to home and international candidates but international students may need to secure funding to pay
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constitutive relationships directly from data, ensuring both predictive accuracy and interpretability. The project places strong emphasis on rigorous mechanics, inverse modelling, and computational
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Self funded or externally sponsored students only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https
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, their simplifying assumptions limit accuracy when dealing with modern reactor design and complex safety scenarios. Conversely, high-fidelity Computational Fluid Dynamics (CFD) offers immense detail but remains