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of people who are dedicated to helping young people innovate through hands-on learning experiences. The workshop has a variety of tools from 3D printers and laser cutters to sewing machines and woodworking
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recognised degree without leaving the country. The role holder’s contribution will be central to high-quality teaching and learning experiences, developing and implementing internationally-recognized curricula
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(inc. Public Holidays) Free on-site lunch provided Workplace Nursery Scheme (salary sacrifice) College gym Car parking (subject to availability/eligibility) Cycle to work scheme The College Gonville
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-grade experience that employers value. The journey You'll develop machine-readable privacy rules, build core functionalities that audit and explain data-sharing decisions, prototype agent systems showing
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industry and academia together to drive pre-competitive, fundamental research in polymers. We welcome applicants with interests in polymer physics, materials processing and characterisation, machine learning
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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students. Selection criteria: Relevant mechanical or production engineering qualification or equivalent experience. Extensive experience in high-precision machining, including manual and CNC operation
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test). Essential Criteria Minimum of 5 GCSE’s Good communication skills. Ability to work within a team. Ability to conduct basic machine maintenance e.g. filter washing/change. Previous exposure
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. With cutting-edge courses, modern pedagogy and practical knowledge, we enable our students and staff to experience the joy of learning, teaching, research and innovation, and apply their knowledge
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning