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techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning environment
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-thinking team that values industry experience as much as academic knowledge. Teach and support motivated apprentices—over 25 currently enrolled and more joining soon. Play a key role in shaping future talent
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and technical colleagues to ensure the data capability for CDDR is scalable, secure, and capable of supporting advanced analytics, machine learning, and large-scale data processing. Your expertise will
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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of Reconstruction Error for Off-Shore Wind Measurement Systems (Dr Anthony Brooms) Software Engineering, Machine Learning, Natural Language Processing, Large Language Models (Dr Taolue Chen) Static Program analysis
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leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports clubs Discounted bus travel and Season Ticket travel loans How to apply: Please
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, multidisciplinary team of around 45 researchers and support staff brings together chemists, roboticists, engineers, and computer scientists, including PhD students, postdoctoral researchers, and experienced technical
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and secure environment. You will work in the control room, handling both emergency and non-emergency calls, and monitoring CCTV, car park systems and alerts via the SafeZone app. Each call is managed
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laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
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rapidly changing world through future-ready education across disciplines like cyber security, AI, renewable energy, computer/data science, engineering, building and surveying. Currently, we are accepting