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the field of Artificial Intelligence (AI) and Data Optimization. As a Researcher in Gen-AI and Data Optimization, you will be actively involved in a cutting-edge research project focused on applying
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, informed by data-driven insights and user research. This platform, in parallel with the University’s Student & Staff Portal (MyEd), are using open-source software, highlighting the commitment
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will also address structural powerplant design and integration, refining computational methods to use high-fidelity aerodynamic data for accurate load prediction and system-level design decisions. About
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5 in cardiac/respiratory physiology. For further information about this position and to apply, visit http://jobs.sgul.ac.uk . We welcome and encourage applications from underrepresented groups
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positive impact through cross-disciplinary interactions. Actively seeking new funding and creating opportunity for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and
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Mountbatten Building (53) which is a highly serviced, hi-tech and complex building. The main duties will range from installation of specialist gas lines (compression and welded) and water systems (process
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. This post is full time (Monday to Sunday, 35 hours working week, compressed to week on/week off shift pattern) and open ended. As a valued member of our team, you can expect: 1 A warm welcoming and engaging
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of the project is to design, implement, and utilise a new beamline for ultrafast science with ultrabroadband optical attosecond pulses. The work will involve both ultrafast pulse compression and frequency
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flow regime ranging from steady laminar to unsteady turbulent configurations, there is also potential to extend the analysis to compressible flows and structural analysis. This research is highly
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collaboration with other researchers. Support the development and submission of funding bids in the Centre including working on systematic literature reviews, data and impact plans, networking with non-academic