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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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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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automated rankings. The research includes real-world validation using university admissions data and will contribute to the broader fields of AI in education and ethical decision-making. This PhD research
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phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data on our HR web pages - https
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, organic chemistry and biophysics Are desire to explore the biochemical composition and biological activity of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with
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of the structure and use of routinely collected cancer data. In this role, the postholder will act as a liaison between the National Disease Registration Service and the Departments of Public Health
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological