38 distributed-systems-networks-phd Postdoctoral positions at University of London in london
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About the Role This post is part of a dynamic collaboration between the Centre for Trauma Sciences and the Centre for Translational Bioinformatics. The Centre for Trauma Sciences, is a
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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About the Role A Postdoctoral Research Assistant (PDRA) is sought to join the musculoskeletal organ-chip research team within Queen Mary’s Centre for Predictive in vitro Models. This 23-month post
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analytical abilities, and a collaborative approach are essential. A clear vision for independent research and future funding is highly desirable. Those who have not obtained a PhD will be paid in the junior
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machine learning under real life constraints of clinical integration/validation and healthcare regulatory translation/commercialisation. The position is part of the project `Integrated autofluorescence
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About the Role Applications are invited for an MRC-funded Postdoctoral Research Associate post to join the laboratory of Dr Tom Nightingale within the Centre for Microvascular Research. This is a
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researchers at Queen Mary University of London (Dr Margherita Malanchini) and King’s College London (Professor Robert Plomin), contributing to a broader network of PhD students and postdoctoral researchers. Key
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. Applicants should have a PhD in Cultural Geography, Environmental Arts or a closely related field; knowledge of current climate- and ocean-related scholarship in the Blue Humanities; a track record of
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and