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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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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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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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the application process may be addressed to [email protected] . Please quote reference PHP-GHD-2026-13. The supporting statement section should set out how your qualifications, experience and training meet each
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Responsibilities: Operational and Resource Management: Monitor and coordinate financial and administrative processes relating to Centre activities, including budget tracking, procurement, claims, contracts, and
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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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the application process may be addressed to [email protected] . Please quote reference PHP-GHD-2026-13. The supporting statement section should set out how your qualifications, experience and training meet each
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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. · Applications close 11.55pm Sunday the 18 of October. · For general enquiries about the recruitment process, the University, relocation support, or employment opportunities at the University of Tasmania, please
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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