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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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[Nature Biotechnology 2023, 41 1265], as well as novel approaches for the genome sequencing of modified bases and are exploring further base modifications, and how they interact with chromatin proteins (e.g
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research across three core areas of research competence: Circular Economy, Ecological Digital Citizenship, and Robotics & AI. These areas align with the EPSRC Discovery priority of Digital Futures, and the
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research proposal that aligns with advertised project calls. If you are interested in attending this workshop, please register via Eventbrite . Useful contacts If you have any queries regarding proof
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project description: Inkjet printing allows multiple materials to be 3D-printed simultaneously, useful for printing functional devices. Discovering the interactions of these materials and how to leverage
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participatory research, supported by supervisors in urban planning, climate adaptation, and social justice. It forms part of the Flood CDT and aligns with Loughborough University’s research on equitable
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results from the wider project. The student will have the opportunity to shape the project to align with their interests and expertise. This PhD is part of a major international project, “Co-producing
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technologies, bulk and single-cell RNA-sequencing, flow cytometry, multiplex immunofluorescence, and standard molecular biology and biochemistry techniques. A computational component may also be available
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playthrough into partial game logs and link them to the final result. This gives us grounded, reliable feedback: we know which sequences of actions led to a win or a loss. From these partial logs, we learn a
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research across three core areas of research competence: Circular Economy, Ecological Digital Citizenship, and Robotics & AI. These areas align with the EPSRC Discovery priority of Digital Futures, and the