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Field
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Grand Tours, one-day races (monuments and semi-classics), and select World Tour 1-week stage races. The data sources will include video and previous race commentary to ‘code’ key events in races that help
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for this post are available for 3 years in the first instance. To apply online for this vacancy and to view further information about the role, please click 'Apply' above. For any enquiries about the project
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click on the 'Apply' button above. For further information about the Wheeler Programme, please contact Dr Tom Simpson or for application advice or support, email PG History Office . Funding Details
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) and X-ray absorption techniques. The student will also gain experience in using ultra-high vacuum apparatus, data processing and scientific programming, as well as training in more general skills such
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future generations of research and development professionals; data specialists; technology experts; inventors; and scientists for industry and society. The Atomic Scale Physics group at the Department
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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the University or Research Centre where the research will be undertaken. Click here for a copy of the job description. Application Information The three documents needed for upload are a copy of your current
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of this project, please contact Prof. Tony McNally (T.McNally@warwick.ac.uk ) directly for further information. Essential and Desirable Criteria: 1 or 2.1 degree in Materials Science & Engineering, Chemical
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming