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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
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to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a background in qualitative social science research, such as literature reviews, surveys
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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this challenge head on by combining quantum-mechanical calculations with state-of-the-art machine learning (ML) methodologies to explore and optimise the compositional space of complex high-entropy metal oxides
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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch
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innovate through hands-on learning experiences. The workshop has a variety of tools from 3D printers and laser cutters to sewing machines and woodworking tools. This unique immersive environment provides
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Statistics Theoretical Computer Science Applied Maths for CS Mathematical foundations of Machine Learning The named courses are subject to change upon realistic needs of the programs and joint agreement
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willing to learn new applications. Benefits Membership of the OSPS pension scheme, free medical insurance (taxable benefit), 30 days annual leave (plus bank holidays), free meals on duty, use of on-site gym
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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of Psychological Medicine focuses on the interface between psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings. The disorders of interest are those