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London School of Economics and Political Science; | London, England | United Kingdom | about 4 hours ago
equivalent to approximately 200 classroom hours, subject to Departmental needs. While we are expecting applicants to be able to teach broadly across various fields of economics, especially at the undergraduate
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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
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biodiversity support, cooling, air quality regulation and access to nature. By integrating Earth observation, spatial AI, machine learning and socio-environmental datasets, the project will reveal where blue
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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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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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, 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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(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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and an improving REF performance. Our major building and refurbishment facilities is providing enviable teaching and learning resources, outstanding laboratory provision and leading IT resources