388 engineering-computation-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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will receive: Generous annual leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development
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new interdisciplinary research programme. Working closely with Professor Peter Coventry, Professor of Health, Environment and Society, you'll be part of a dynamic and ambitious team focused on public
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data
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/ knowledge of lung cancer/ publications or poster/ oral presentations in lung cancer research would be desirable. Applicants should also have a PhD or equivalent in computer science, mathematics, statistics
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and Public Finance Programme a Centre for Private Development Finance in Development (‘CPFD’) with the view to offering funders and stakeholders a focal point for all the future work undertaken by ODI
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Consortium). The post is based in the School of Health Sciences within the Applied Health Sciences Department, and the post holder will assist with delivering the programme of work associated with the PHRESH
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packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our
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outcomes over time using multi-state models, accounting for association amongst processes and across time. The role will involve both theoretical and computational model development, together
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areas of Computational Biology or Chemistry, or should be finalising their PhD or waiting for their viva date. Please note: Appointment at Grade 7 is dependent on award and confirmation of a PhD (or
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. The research programme is led by Professor Mahmood Bhutta at the Brighton and Sussex Medical School and you will be joining a Sub-Theme Team led by Professor Dimitra Petrakaki at the University of Sussex