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related field. You have an excellent academic track record in topics relevant to robot perception - visual inertial odometry (VIO), mapping (SLAM) and 3D reconstruction. Experience with ultra-sound would be
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stakeholders to ensure the programme’s academic and strategic objectives are met in a timely and efficient manner. You should be educated to degree level or equivalent. You must have experience of administration
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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in the field, evidence of ability to write research proposals, and experience of quantitative research and analytical techniques. They will have strong interpersonal skills and a track record that
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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the CYCLONE team, whilst managing and prioritising elements of an ambitious list of interesting and impactful objectives. This post offers an outstanding opportunity to advance the Research Associate’s
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managing and prioritising elements of an ambitious list of exciting and impactful objectives. This post offers an outstanding opportunity to advance the Research Associate’s career in the area of attribution
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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: Lead and develop a team of alumni engagement professionals, setting clear objectives and ensuring high performance. Manage and enhance the global alumni volunteer programme, incentivising engagement and
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will involve co-ordinating committee work and managing workflows of CoE business in order to ensure projects and objectives are achieved on budget and on time. You will need to organise meetings