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exciting opportunity to join the dynamic research group on Digital Ethics and Defence Technologies, contributing to pioneering work at the forefront of AI and ethics. The role focuses on innovative research
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exciting opportunity to join the dynamic research group on Digital Ethics and Defence Technologies, contributing to pioneering work at the forefront of AI and ethics. The role focuses on innovative research
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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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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CPWO stream leads, to support and develop research that explores the policing of online harms against women and girls. This role is ideal for a dynamic and collaborative researcher with an interest in
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multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across
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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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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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seconded to national and international organisations, helping to shape policy and practice nationally and internationally. About the role We are seeking two dynamic researchers interested in working as part