176 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Bristol
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Understanding, preferably with expertise in video understanding or 3D Vision. Prior degree in computer science, engineering or mathematics. Detailed knowledge of video understanding state-of-the-art, approaches
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the Social Sciences and introductory units in Sociology. The role-holder will contribute to teaching on our UG and PGT Sociology programmes. They will be expected to supervise undergraduate dissertations
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collaborators and disseminating research findings. You have a PhD (or are close to completion) in Electrical Engineering or a relevant field, OR have equivalent industrial experience. You have experience in
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for a post-doctoral academic trainee training in neurology with outstanding potential to develop a successful academic career within a thriving and supportive environment. The lectureship programme will
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academia. Contribute to the Centres’ overall activities (public engagement, dissemination, reporting, community building). A limited amount of teaching. Applications are invited from candidates with a PhD in
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. The overarching aim of our group’s research programme is to develop a deeper understanding of the immunology of infection, and in particular population carriage/immunity to inform the use (and development
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should have or be working towards a PhD in computer science, networks or communications. You will have the ability to learn quickly, with excellent communications skills and the ability to collaborate and
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://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: K Salary: £50,253 - £58,225 per annum School/Unit: School of Computer Science This advert will close at23
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researcher and educator. This is a clinical academic training post – please see the job description. You want to be a clinical academic leader You have completed and submitted a PhD or equivalent You have a
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-fields and bone-tissue engineering. This role is to work on the experimental validation of the multi-physics models. This will involve (1) developing experimental apparatus for model validation and (2