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Why work at Caius? Benefits include: Generous Pension Scheme; 3x death in service benefit Health care cash-plan 33 days of annual holiday (inc. Public Holidays) Free on-site lunch provided Car
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Funded PhD studentships The successful candidate for each studentship will receive full funding for tuition and stipend, at UKRI standard levels. International candidates are encouraged to apply. Shocking Meteorites – how impact processes affect the water content of extraterrestrial...
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reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building
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and software) for users on campus, including for high profile academic and professional services staff. Obtaining quotes, specifying and making recommendations for the purchase of computer equipment and
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Careers & Employability Services brings together the Careers Service, Placement team, and Centre for Workplace Learning to prepare our students for life after University, building
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contributory pension scheme 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of
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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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(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