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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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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
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that will inform teaching, and actively support recruitment and outreach activities, such as open day and school liaison events. You will teach across our suite of biological science degrees, focusing
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crystallography aspects of our research (predominantly in the area of crystalline materials), while also ensuring integration with the other research areas in the Cooper Group (i.e., robotic automation and machine
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with experts to automate diagnostic assays, leading to cost-effective, easy to use tests Work closely with AMR, Informatic and Machine Learning colleagues ensure the tests provide accurate pathogen ID