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responsibilities include: 1. Meeting Rooms and Audio-Visual Support: Prepare meeting rooms based on the Computer-Aided Booking System (CABS) schedules, ensuring appropriate furniture and equipment setups meet
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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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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and
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to learn and develop new experimental, computational and wet-lab techniques and approaches. • Identify genetic reagents and design experiments that test circuit function. • Construct
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the Faculty’s programme of access and outreach initiatives; represent the Faculty at internal and external events (including presenting at those events); collaborate with colleagues across the collegiate
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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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. 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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working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE). About You To be considered for this position you should have a degree in a computing or scientific subject and experience in data
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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