575 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral positions in United Kingdom
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This 36-month postdoctoral position is part of the project ENLIGHT (Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors) consortium, a £13.2 million, five-year programme
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Biomedical Campus. You will join an exciting research programme investigating novel aspects of viral sensing and the function of key uncharacterised viral evasins. This post will involve the use of cutting
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, psychology, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance
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the Department of Paediatrics as our Postdoctoral Researcher in Nanomedicine and Synthetic Biology. You will play an important role in the development of next-generation programmable delivery systems for nucleic
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Postdoctoral Research Associate in System Design and Analysis ( Job Number: 26000042) Department of Engineering Grade 7: - £38,784 per annum (pro rata) Fixed Term - Part Time Contract Duration
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We are seeking a full-time PDRA to join the Solid Mechanics and Materials Engineering group at the Department of Engineering Science (central Oxford). The post is funded by (UKAEA and the Royal
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and automation on laboratory practice in pathogen molecular biology, including virology research. The ideal candidate will be trained in Science and Technology Studies or similar and have experience
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) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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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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modelling of atmospheric chemistry and aerosol-cloud interactions. The successful candidate will work within UNIC to improve knowledge of the interactions between particulate matter emitted by aircraft