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plastic surgery/burns is essential. Previous experience in the design and/or implementation of clinical studies (including protocol development, data collection and processing) is desirable. Application
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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://www.sheffield.ac.uk/smph For informal enquiries about this job contact Dr James Alix, Senior Clinical Lecturer: on [email protected] or on 0114 271 2039 Next steps in the recruitment process It is anticipated
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . Please quote reference PHP-HSRP-2026-18. The supporting
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on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected]
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . Please quote reference PHP-HSRP-2026-18. The supporting
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a