269 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:" Postdoctoral positions in United Kingdom
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- VIN UNIVERSITY
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new strategic plan in place as the basis for the renewal and revitalisation of the School, which commits SOAS to both student responsiveness and research intensity. SOAS is moving towards a new model of
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& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL
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appropriate To provide support in research activities for undergraduate courses and research programmes and provide guidance to other members of staff within the research team • To maintain and update area
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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 Materials Design. This
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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research programmes, for example knowledge of cancer biology, hypoxia-mediated biology, redox, and the tumour micro-environment. You will have experience of cell viability assays, western blotting, qRT-PCR
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental