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Field
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natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis
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-service involvement, develop typologies of need, and uncover spatial and temporal trends. Combining data science techniques with stakeholder engagement, the project aims to generate actionable insights
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Research theme: "AI and Robotics in engineering", "Digital security and resilience", "Digital security and resilience" How to apply:uom.link/pgr-apply-2425 Number of projects: 1 This 3.5-year project has EPSRC DLA funding. For UK students only and EU students with settled status. Tuition fees...
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Project details Globally, we are facing a huge explosion in data creation volume. With technological advancements like IoT and Artificial Intelligence, organisations are gathering vast swathes of data but in many cases, are failing to use this data effectively. ‘Bad’ data carries significant...
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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry...
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Characterization Techniques Study the advanced electrochemical characterization methods. Gain deep insights into the reaction models associated with PCFCs. 3) Understanding of Electrocatalytic Performance and
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project aims to unravel these mechanisms by combining two cutting-edge techniques: NMR spectroscopy for atomic-resolution insights in solution Single-molecule FRET for time-resolved, single-molecule
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progression, with the ultimate aim to develop innovative nucleic acid therapeutics against cancer. We make use of advanced molecular and cellular technologies to identify novel targets and get insight
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agricultural challenges, such as sustainability, efficiency optimisation, and resource management, providing real-time insights and data-driven precision to support resilience and adaptability. The AI and Cyber
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Tomography (ToF-PET) offers vital functional and molecular insights for improved cancer staging, its current capabilities are often limited by the timing resolution and sensitivity of existing detector