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acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT
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of separating fire-induced signatures from natural environmental variability (weather, canopy changes, tree motion) and fluctuations in the SoO sources themselves. Machine-learning methods will help improve long
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provided Workplace Nursery Scheme (salary sacrifice) College gym Car parking (subject to availability/eligibility) Cycle to work scheme The opportunity to work in a beautiful environment The Opportunity In
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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Collective Artificial Intelligence Reinforcement Learning and Multi-Agent Systems Scientific Machine Learning AI in Robotics (Embodied AI) For a full description of responsibilities and selection criteria
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About us The Centre for Learning Enhancement and Educational Development (LEED) leads Manchester Metropolitan's digitally enhanced education, academic development, and education innovation. Our
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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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enthusiastic Design and Technology Technician to play a pivotal role in supporting high-quality teaching and learning across Key Stages 3 and 4. The successful candidate will support the practical and technical
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Culinary sectors. The candidate will have sustained teaching experience within the Higher Education (HE) sector. The candidate will be required to teach practical and theory subjects in areas such as
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the Falmouth & Exeter Students' Union (The SU) and the wider, universities partnership we support Higher Education learning and living, ensuring that the interests of all campus users are at the heart