568 computer-science-intern "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions in United Kingdom
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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material sciences. Working alongside Dr Anke Hein and Dr Guohua Yang, the post holder will play a crucial role in supporting the wider academic mission of the research group. About you The successful
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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About us The post is based in the Centre for Society and Mental Health, a cross-Faculty initiative between the Faculty of Social Science and Public Policy (SSPP) and the Institute of Psychiatry
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for over thirty years and the models she has developed are considered amongst the best in the world, used by regulators, industry and the United Nations through the International Telecommunications Union
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us. We seek an outstanding postdoctoral fellow to join the group of Dr. Tom Deegan at the MRC Human Genetics Unit, within a programme aimed at understanding molecular mechanisms of eukaryotic
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disease ethics in global health, significant relevant postdoctoral research experience and sufficient specialist knowledge in the discipline to work effectively within the research programme as outlined in
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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grant TWISST: Terahertz wave induced spin switching technology. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic memory-devices characterised by very low
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Applications are invited for a Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation