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multidisciplinary programme of work examining each level of the sensory chain, including detection, signal transduction and amplification, cellular and behavioural responses. Our combined expertise includes quantum
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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. The role includes leading statistical work for two major NIHR-funded initiatives: the Oxford BRC “Big Infection Diagnostics” programme and the Health Protection Research Unit on Antimicrobial Resistance
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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assist with the department’s programme of academic summer visitors. Supported by experienced museum staff and working in a talented team, you will acquire the key skills of modern curatorship. This is a
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation
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or experimental methods, applied statistics, or computational social science. The position is open to candidates from relevant social science disciplines including political science, sociology, economics and public
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We are seeking an ambitious and highly motivated Research Assistant to work in a programme of research that aims to investigate extracellular vesicle biogenesis and biomarkers in Parkinson’s disease
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across