638 engineering-computation "https:" "https:" "https:" "https:" "UNIV" Fellowship research jobs in United Kingdom
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degree (or have submitted your thesis before taking up the role) and research experience in Physics and/or Engineering along with significant experience in experimental liquid crystal physics, including
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an existing open-source malaria transmission model (in partnership with the model developer) to embed these new water layers. Model outputs will then be validated using remotely-sensed datasets and existing
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engineering, chemistry or materials science is also essential. What we offer: A friendly, diverse, and supportive working environment Generous holiday entitlement of 30 days plus standard bank holidays and five
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interdisciplinary research programme based at Hull York Medical School and led by The Dickson Poon School of Law at King’s College London in collaboration with York Law School at the University of York. The project
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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of Brain Sciences, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5
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research and development in the area of single-cell analysis technology and will also collaborate with clinical partners on the testing and validation of these technologies. Key responsibilities include
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The European Research Council (ERC) funded JUSTICE Programme is a six-year multi-institution project to explore and adapt law enforcement investigative practice in countries across the world. As a
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We have X2 Part-Time roles available The European Research Council (ERC) funded JUSTICE Programme is a six-year multi-institution project to explore and adapt law enforcement investigative practice
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knowledge gap by using cutting-edge technology to track individual tumour cells over time, essentially creating a “family tree” of cancer cell evolution. By tagging each cell with a uni que DNA barcode and