390 Computer-Science-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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A post-doctoral position is available to take a leading research role in an industry-facing HBLB funded research project entitled “Toward Racehorse Injury Prevention: A Computer Vision-Based
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for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering
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and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and
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with a multidisciplinary team in ophthalmology, proteomics, metabolomics and computational biology. Responsibilities will include preparation of low-volume biological samples, support for mass
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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have completed the requirements for a first degree in computer science, artificial intelligence, bioinformatics, computational biology or a related quantitative discipline before taking up
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screening within the cervical screening programme in England and Wales. Under the supervision of Prof Jo Waller, you will lead the day-to-day work on the behavioural science aspects of the project in England
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of vision in trilobites” funded by the Human Frontiers Science Program. The researcher will work under the direction of Associate Professor Luke Parry as part of a wider international team including Dr
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Postdoctoral Researcher in Reproductive Demography Grade 7: £39,424 - £ 47,779 per annum Based at Oxford Population Health (Nuffield Department of Population Health), the Demographic Science Unit
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specify its RNA-binding and regulatory repertoire. With a strong background in biochemistry, cell biology and computational and statistical analysis, you will regularly communicate and work collaboratively