84 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" uni jobs at University of Sheffield
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, delivered across the CDT partner universities. For further information about the CDT programme, please visit the CDT website at https://www.fusion-engineering-cdt.ac.uk/training-fusioneers/programme/ or send
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undertaking research whilst pursuing further training. It offers the opportunity to combine clinical training in infectious diseases with a programme of post-doctoral research, providing 50% clinical and 50
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Overview This NIHR academic clinical lecturer position is an exciting opportunity to combine clinical training with a programme of postdoctoral research, providing 50% clinical and 50% academic time
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Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Cardiology clinical academic training programme led by the Training Programme
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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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pharmaceutics teaching within the MPharm programme ensuring that it is accessible, inclusive and contributes to the University’s Teaching and Learning Strategy. Improve and enhance the student experience and
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consists of 6 members of academic staff, together with 12 PhD students and several postdoctoral researchers. We are a friendly and welcoming group, with an active programme of seminars and a journal club
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)/Neurodegeneration clinical research programme. You will have the opportunity to be part of the NIHR Sheffield Biomedical Research Centre (Translational Neuroscience for Chronic Neurological Disorders) Junior Academy
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programme of high-quality personal research by identifying and securing varied sources of funding Demonstrate research impact by disseminating research findings through high quality publications and
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and characterizing disease-specific EVs and identifying and optimising biomarkers to enable detection on novel nanoplasmonic surfaces. This project forms part of an EPSRC Programme Grant, Molecular