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programming for data analysis and machine learning/deep learning, using python or R. Ability to work well within a interdisciplinary team. Commitment to contribute to positive research culture. Apply Before: 16
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, including linear-scaling density functional theory (LS-DFT), quantum embedding, and machine learning potentials, to systematically characterise unidentified colour centres, and explore this vast
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greener transportation and energy. Building on recent advances, the successful candidate will use a powerful combination of dynamical systems theory, optimisation, DNS and machine learning to model and
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the expertise of the existing members of the School will be considered. Topics of interest include, but are not limited to: reasoning, autonomous systems, machine learning, AI and industrial processes, machine
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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comfortable communicating with PhD students, staff and external partners. You will possess excellent organisation skills with the ability to multi-task and prioritise your workload. You will be proactive and
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in the world and will develop skills in machine learning, observational and theoretical astrophysics. For more information on this project please contact s.littlefair@sheffield.ac.uk Information
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challenge. This project builds on preliminary work using Reinforcement Learning for control strategies and aims to validate simulation results through wind tunnel testing. About you You should have: a PhD in
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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transitions, metastability, climate system response to perturbations, and machine learning applications in climate science. You will be part of an internationally recognised research environment, where you will