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School of Computing & Mathematical Sciences Location: Greenwich and Medway Campuses Salary: £38,249 to £44,128 Contract Type: Permanent Release Date: Friday 25 July 2025 Closing Date: Friday 08 August 2025 Interview Date: To be confirmed Reference: FES015-E We invite applications outlining...
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The University of Bristol is seeking a Research Associate to work with Dr Ben Faber on a Wellcome Trust-funded project entitled ‘Utilising large joint structural phenotypes of osteoarthritis
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ecosystem, such as VinIT, VinMotion, VinRobotics, Vinmec, Vinhomes, Vincom Retail, Vinpearl and VinFast. These connections are an excellent source of large, real-world data sets as well as applied problems
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Applications are invited for a SQL Developer, to work with the ORCHID Research Platform central data team at the Nuffield Department of Primary Care Health Sciences. ORCHID is a large primary care
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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including designing and conducting experiments, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data
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manufacturing. You will work in state of the art large language models and their application to chemical engineering, with a focus on AI model development, multimodal data processing and automated documentation
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use
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demonstrable equivalent professional experience. They will also have strong experience of using machine learning or data science to analyse and model large datasets. Demonstrable technical knowledge and skills
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use