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Develop advanced expertise in real-world sport and exercise science through applied, research-led PhD study, combining interdisciplinary science with direct engagement in sport performance
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data warehouse to enable the University to enhance their reporting, insight and advanced analytics. Work collaboratively with other member of the Analytics Team, Software Engineering, IT & Digital
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of the Department and the wider Faculty. Serve as a mentor and role model for colleagues and students. Contribute to the MRes in Machine Learning and Big Data in the Physical Sciences. Help develop proposals for CDT
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that make up our Technical Community at Nottingham School of Art & Design. As part of our Immersive Technology Team, you will support innovative creative practice across a range of specialist areas, including
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interests in the relationship of Information Systems to one or more of the following areas: financial technologies, data-driven humanities and social sciences, cognitive science, information visualisation
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, biochemistry, developmental biology or a related discipline. You will have knowledge of ovarian biology, practical laboratory research experience, and the ability to analyse and interpret scientific data. Strong
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programmes. This is an exciting opportunity to teach within a modern curriculum that combines computer science, artificial intelligence, software engineering, cloud computing, machine learning and responsible
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requirements and understand and identify problems they face. Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry
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to address the global threat of antimicrobial resistance (AMR). We are looking for a Grade 7 PDRA in molecular biology who will join an established group of researchers focussed on the mechanisms
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We are seeking an ambitious Postdoctoral Research Scientist in Ovarian Biology to join Professor Suzannah Williams’ group at the University of Oxford. Funded by Children with Cancer UK, the post