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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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research programme on “Enabling consumers to make healthy financial choices”, focusing on how technological and organisational solutions can improve financial literacy and decision-making. This post, under
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a 3-year, fixed-term position, funded by a research grant from the UK Engineering and Physical Sciences Research Council. The starting date of this position is flexible with an earliest start date
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. Iain McCulloch and is funded by the EPSRC. Find out more about the research group at: About you Applicants must hold a PhD in Chemistry, Physics or a relevant subject area, (or be close to completion
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular
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Academic Clinical Lectureship (ACL) NIHR Integrated Academic Training Path 4 years fixed term Salary: Grade A63 or A67: £38,831 - £80,081 per annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS Applications are invited...
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We are seeking a highly talented and motivated Postdoctoral Researcher with an interest in Human-AI interaction to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine learning systems. The post-holder will have responsibility...
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and