103 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at University of Cambridge
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. The closing date for applications is 28th February 2026. ******************** Benefits Access to College gym Training and Professional Development Access to Cambridge University Library 33 days’ annual leave a
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monitor mitigation actions. Escalate issues to senior leadership and Council where appropriate. Maintain awareness of developments in employment law, charity regulation, and remuneration governance. Person
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enjoy a beautiful environment unique in Cambridge in its spaciousness. The College is composed of approximately 50 Fellows and 200 non-academic staff and its aim is to help all students to develop
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presentation. You will contribute to the development of seasonal dessert offerings and ensure excellent quality in pastry and dessert preparation and presentation. If you are an organised individual with good
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provide actionable insights. Experience supporting organisational change. Experience of Human Resource Information Systems (ideally Cascade) and developed IT Skills. Excellent interpersonal skills
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access to an Employee Assistance programme 24/7 - Healthcare cash scheme (e.g. for prescriptions, dental, optical, physiotherapy) - Free Life Assurance cover - Optional subsidised private medical schemes
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content. For specific details of the roles and responsibilities, please see the Job Description. We offer 34 days annual leave (includes Bank Holidays), workplace pension scheme, health cash plan, life
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Description. We offer 34 days annual leave (includes Bank Holidays), workplace pension scheme, health cash plan, life assurance, employee assistance programme, free on-site parking, free use of gym and swimming
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annual leave (includes Bank Holidays), workplace pension scheme, health cash plan, life assurance, employee assistance programme, free on-site parking, free use of gym and swimming pool, free lunch plus
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develop skills in genetic epidemiology, in the analysis of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. The