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to the controls (Mason et al., 2023 Communications Biology). In this project, we aim to further optimise our OCE imaging platform and apply new methods (e.g. Quantitative Phase Imaging (QPI)) to expand
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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characterisation methods. Subject to student eligibility and availability of opportunities, they will be able to teach, engage in public outreach or explore other opportunities complementary to their research
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successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degreewill not be considered eligible. DC’s must be recruited and enrolled in a doctoral programme leading to
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training methods is highly desirable Studentship and eligibility The School funded studentship starting in the academic year 2025/26 covers: Full time PhD tuition fees for a student with a Home fee status
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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform