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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
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ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine
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. Importantly, this position offers a unique opportunity to develop an independent research program in a very novel area of biology, focusing on how the kinetochore and the cytoskeleton interact to influence
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to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led
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) in machine learning or a closely related field you should possess sufficient specialist knowledge in the discipline to work within established research programmes and have an ability to manage own
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including providing administrative support to the Associate Dean for Undergraduates for the ‘Preparation for Learning and Teaching at Oxford’ (PLTO) programme. Candidates should have strong administrative
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anxiety, to work within the established research programme. Substantial hands-on research and professional experience of working with individuals with mental health difficulties, including first-hand
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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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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