257 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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a project investigating prehabilitation for cancer populations in collaboration with the Cancer Treatment Outcome Programme at the Country Durham and Darlington NHS Trust. Prehabilitation means
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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archaea, many of which also use histones as major chromatin building blocks, and non-model bacteria. In the lab we combine a variety of computational and experimental techniques, including phylogenomics
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will have: A PhD in theoretical or computational condensed matter physics, or will expect to obtain one before the start date. Experience in scientific programming. Strong written and verbal
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and functionally characterise modified thrombopoietin (TPO) with the overriding aim to improve HSC ex vivo expansion. The successful candidate will benefit from a highly collaborative programme with
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aims to achieve reliable genome design and synthesis – engineering cells to have specific functions – which will be a major milestone in modern biology. A dedicated social science program will support
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University. You will design, lead and execute high‑quality wet‑lab and computational research, developing and optimising advanced cellular and molecular immunology assays. Techniques will include multi
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predicative models of disease. Our integrated research programme has flexibility for the candidate to contribute to multiple ongoing initiatives whist driving their own research projects applying bioinformatics
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational