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research against the Teenage and Young Adult Cancer Priority Setting Partnership priorities. The successful post holder will be based in the School of Health Sciences, working with Susie Aldiss and Professor
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if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa . As a valued member of our team, you can expect: 1 A warm welcoming
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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Worker eligibility criteria: https://www.gov.uk/skilled-worker-visa The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting
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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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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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innovation. Sustainable Society: climate resilience, behavioural science, adaptive governance, and equitable pathways to net zero. As our research grows, so does our ambition. This is an exciting time to join
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, Computer Science, Material Science). Essential requirements include demonstrable experience with THz spectroscopy instrumentation; a strong understanding of the physics of semiconductor devices and photonic
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biology in atherosclerosis. The project will combine patient-derived endothelial colony-forming cells with advanced coronary artery imaging from patients at Barts Health NHS Trust to identify individuals
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(FAD). About the role We are looking for a research fellow/senior research fellow to cover a senior research fellow/programme manager role on the Genetic and Non-Memory Led Dementia (GNMLD) talk project