516 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at University of Sheffield
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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co-culture system. Outcomes of this work will be benchmarked against the Carnegie Collection of Embryology (https://www.ehd.org/virtual-human-embryo) and the Boyd Collection (https
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
: Candidates must have a first or upper second class honours degree or significant research experience. How to apply: Please complete a University Postgraduate Research Application form available here: https
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project will involve data analysis, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally
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Canada. Please also see our website for more information about our lab: http://www.claudiavonbastian.com Funding Notes Self funded or externally sponsored students only. Intakes are usually October and
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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. The research will integrate advanced full-field imaging techniques, including X-ray computed tomography, neutron tomography, and related methods, with modern machine-learning approaches such as sparse regression
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Vision concepts, including image processing, machine learning for visual inspection, and AI, within a manufacturing environment. Your work may also involve developing novel demonstrators for Computer
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online provision of the pre-sessional courses you will need: a modern laptop or desktop computer in very good working order (Windows 11 or macOS Tahoe 26.1 preferred) a headset (strongly recommended) or
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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)