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proving, machine learning for reasoning, or neurosymbolic AI. Desirable Application/interview Further Information Grade Grade 8 Salary £48,822 - £51,753 Work arrangement Full-time Duration Until 30th
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equivalent) in Civil and Environmental Engineering (water), Environmental Sciences or a related subject. Aptitude for research in drinking water systems, including machine-learning and ecological modelling
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candidate will build quantum computing approaches for smaller structure-prediction problems, using these to generate promising candidate solutions and machine learning tools to improve and filter them
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. Main duties and responsibilities Record neural activity in Drosophila using imaging and/or electrophysiology. Design and carry out protocols to induce neuronal plasticity via learning and/or homeostatic
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-based test and an interview. We plan to let candidates know if they have progressed to the selection stage in the week commencing12th October 2026. If you need any support, equipment or adjustments
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, you will serve as a mentor to apprentices, offering guidance and support in their development while being open to learning and adapting to new technologies and systems as required. Main duties and
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Support delivery of an engaging calendar of events and competitions to inspire entrepreneurial thinking and engagement with our service. Ensure and help to develop the service’s learning materials
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effectively as part of a team, with good time and project management skills. Essential Application/interview In-depth knowledge and solid practical skills in AI, machine learning, and data analysis. Essential
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impact for the region. The role requires a high-calibre leader with an extensive, pre-established network across the MOD, the armed forces or the defence industry, possessing a distinct capability to build
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develop specialised technical skills while supporting the university's teaching, learning, and research activities through reliable and efficient IT services Main duties and responsibilities Provide