518 computional-geometry-algorithm positions at University of Oxford in United Kingdom
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University-led flagship initiative that is driving innovation-led growth across Oxfordshire. The postholder will lead the planning and delivery of a strategic programme of high-profile events that elevate the
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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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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
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for the Bodleian Libraries by supporting the delivery, management and growth of the Friends and Patrons programme, which is at the heart of the Libraries’ supporter activity. What We Offer Working at the University
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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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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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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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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 successful candidate will have excellent organisational and communication skills, experience with setting up and managing large databases with a good understanding of computers and software, and knowledge
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability