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Intelligence (GenAI) can support people with learning disabilities in their daily lives. This innovative project explores the potential of using GenAI to support the daily lives of people with learning
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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reproducible infrastructure while collaborating closely with cross-disciplinary teams across genomics, epidemiology, machine learning, and biomedical science. The role will also involve mentoring junior
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bespoke methods – including advanced data modelling approaches (e.g., machine learning, digital twin models) and AI techniques where appropriate – to provide novel solutions that enable sports to make
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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academic community. It will offer various degrees in Computing with subjects across Computer Science, Philosophy and Statistics including software engineering, computer systems, cybersecurity, databases and
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machine learning and knowledge organisation, for exploring the significant moving image collection at BT Group Archives. This project will be jointly supervised by James Elder and Elspeth Millar( BTGA
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About the role As a system administrator, you will play a critical role in supporting, maintaining and developing the computer systems upon which all the Department’s IT operations depend. Your work
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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for stress-testing. Training spans multi-agent reinforcement learning, evolutionary computation, adversarial machine learning, game-theoretic modeling, and financial crime compliance. You will design agent