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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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significantly impact next-generation experiments at large facilities. Tasks: This project will develop innovative ultracold neutron detectors, using superconducting microstructures for spin- and energy
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, and mortality. This will be achieved by linking large existing datasets that contain data on people with diabetes foot disease in the community (such as Diabetes Registries, Diabetes Foot Registries
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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Status: Open Applications open: 4/08/2025 Applications close: 10/09/2025 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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data, which often only provides snapshots in time, neglect coastal waters, and overlook certain species. You will work on integrating diverse data sources to overcome these limitations and develop a more
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of challenges of building large-scale systems. Programming skills in Python. A good Bachelor’s Hons degree (2.1 or above or international equivalent) and/or Master’s degree in a relevant subject (physics
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PhD Opportunity: Multi-Omic Integration for Precision Oncology; Transform cancer care through genomics, data science, and translational biology. Swansea University are pleased to offer a fully
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, the supervision team have obtained data access to indoor environment sensor data at national scale from a leading industrial collaborator. To pair with this big dataset, outdoor environment data at MetOffice can be