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(murray.pollock@ncl.ac.uk ). For further details about School of Mathematics, Statistics and Physics, please click here Full Information about Newcastle University can be found here . We are committed to building
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each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. Diversity The Department of Paediatrics is committed
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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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directly addresses one of the most pressing challenges in modern information security: the malicious use of synthetic media. The relevance is acute, as deepfakes and AI-powered phishing campaigns are being
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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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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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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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prestigious journals and present at international conferences. You will develop the necessary skills to develop in vitro functional assays with potential clinical relevance, generating data that could identify
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, the supervision team have obtained data access to indoor environment sensor data at national scale from a leading industrial collaborator. To pair with this big dataset, outdoor environment data at MetOffice can be
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of Birmingham. Funding Information Please note this project is open to UK applicants only. Candidates must have at least a 2(1) in an Engineering or Scientific discipline or a 2(2) plus MSc or equivalent