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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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Expertise in one of the following areas applied to sports and/or human movement science: Computer Vision Match & Performance Analysis Machine Learning Ubiquitous Computing Virtual Reality Teaching experience
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engineering Antennas and propagation Electromagnetics Radar and sensing Communications systems Spectrum, interference and regulation Embed RF learning within NMITE’s challenge-based pedagogy Lead programme
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& Exercise Assistants. You’ll plan and deliver recreation activities, support BUCS sport, and mentor students on placements to enhance their learning and employability. You’ll also contribute to event
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service, has an appetite to learn, is keen to understand and support a wide range of technology and has outstanding written and verbal communication skills? We’re looking for an enthusiastic, customer
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delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A culturally rich university with a palpable commitment to
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-minded institution with a relentless focus on delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A
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of developmental, cell and molecular biology Ability and willingness to learn new skills and undertake further training and development aligned to the role, which may include working with laboratory animals
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collaboration experience. Main duties and responsibilities Develop findable, accessible, interoperable, and reusable (FAIR) AI / machine learning software, tools, and workflows to support multiple exploratory
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in working on collaborative projects using GitHub or similar, and CI/CD practice and workflows. It would be a benefit if you had some experience of: some analysis languages such as R or Stata, Machine