384 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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funded by the Heising-Simons Foundation that provides funding for ISMIP7 Core Activities. We invite candidates with interests and experience in the fields of physical and computational oceanography
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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies
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To contribute to the development and integration of AI models in real-world systems with a geospatial component Essential Criteria PhD in a relevant environmental/ecological science or Computer Science or a
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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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: A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field. Experience building or using microsimulation models or other quantitative policy tools. Strong
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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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Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family leave Flexible working
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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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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