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an opportunity to be involved in analysing the quantitative data collected as part of the project. You will hold a relevant PhD qualification (or be close to completion), with sufficient relevant research
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will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, develop ideas for generating research income, and present detailed
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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understand the links between maturational accounts of acquisition and the stability of morphosyntactic properties diachronically, with particular reference to French. Acquisitional data will be extracted from
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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these processes, with the aim of understanding how ageing promotes CH progression. You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience
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on academic research that relies extensively on survey data and work with interview data, historical case studies, cross-national and sub-national data, and the literature related to this programme of research
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understanding of myocardial regeneration, neoangiogenesis, immunomodulation, and anti-fibrosis at the molecular level, with spatial resolution. To be successful in this role, you will hold a relevant PhD/Dphil
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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funded by EPSRC and is fixed-term until 31 May 2026. The role will entail collecting and analysing functional MRI data from healthy volunteers, including both BOLD and ASL from 3T Siemens clinical scanners