646 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" uni jobs at University of Sheffield
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effectively selecting cutting tool parameters, machining strategies, and work-holding methods, supported by process data analytics for optimisation. Mentor project team members in applying best practices
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reception taking care of enquiries from students, graduates, staff and visitors in person, via email and chat functions and telephone, recording enquiries on various information systems as required. Take care
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presentations, undertaking some initial analysis of information and collation of materials for inclusion. Maintain document filing systems (electronic and hard copy) for critical Departmental documents and logs
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theoretical experience in human cell culture growth. Essential Application/interview Experience of designing experiments and accurately collecting data with subsequent robust analysis using appropriate
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website https://sheffield.ac.uk/smph/research/primary-care For informal enquiries about this job contact Chris Burton (health) or Peter Bath (data science and PPIE) chris.burton@sheffield.ac.uk or p.a.bath
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Interview Further Information Grade 7 Salary £38,784 - £47,389 per annum.Potential to progress to £51,753 per annum through sustained exceptional contribution. Work arrangement Full-time Duration Fixed-term
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hydrocarbon potential, data handling and management using Stratabugs. The Centre for Palynology has been in existence since 1949 with over 300 graduating students (100+ Ph.D. and M.Phil. and 200+ M.Sc. and
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senior postdoc to characterise the epigenomic landscape at time points when the immediate (innate) immune response has subsided, but the immune memory persists. Integrating these data with resistance
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. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information
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Award at the University of Sheffield. We aim to develop retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for healthcare fact-checking. Reliable healthcare information is