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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and
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will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing
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: Northeastern University London (NU London) Project start date: October 2026 Supervisors (*lead): Osvaldo Simeone (Northeastern University London) Huiling Zhu (University of Kent) Aligned programme of study: PhD
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Characterize the molecular basis of enzyme function with spectroscopic, kinetic, and structural techniques. About the programme Join experts in industry and academia working to sustainably manufacture
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will benchmark the developed methods against state-of-the-art methods for stochastic programming as well as testing the solvers on real-life problems. When benchmarking against state-of-the-art methods
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for early career researchers of all stages. Our programme will help you gain career skills, orientation, and support for a seamless transition into the job market inside academia—and beyond. Get in touch with
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applications The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites. Information
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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time to teaching in the context of the Sociology programme at Radboud University. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading