601 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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should have relevant competence in the areas of processing technology, physical and structural analysis, material formulation, and mathmatical modeling. The candidate should also have a PhD or other
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programme. Details of research projects currently being undertaken can be seen at: https://www.crick.ac.uk/vivian-li/ . Key Responsibilities In this project, some of the specific aims include but are not
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and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/ Queen's University is committed to promoting equality
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& Management. He also works closely with industries such as Alibaba/Taobao, Duckbill Logistic Technology and cross-border e-commerce companies. For details of the PI, please refer to the link: https
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
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gut-resident macrophages and T cells contribute to synucleinopathy, building on recent discoveries from the lab (De Schepper et al., Nature 2026; ; https://www.nature.com/articles/s41586-025-09984-y
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partners and asset or land owners. This role will involve working closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research
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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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health and care. The secondee will contribute to the design, scaling, and govern ance of high-quality linkage services, working in a multidisciplinary environment spanning data science, data engineering