84 computer-programmer "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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programmes. ● Ownership and support / preparation of project and programme budgets, in collaboration with Research Engineers to ensure they are not exceeded and spent on relevant project items. ● Detailed
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customers and colleagues, including identifying needs and responding appropriately based on the situation and organisational culture. Plan, allocate, work safely at all times, complying with health and safety
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qualifications (Occupational Ability and Personality) and who are qualified to teach psychometrics via SHL’s Accredited trainer Programme (ATP). A commitment to fresh thinking, flexibility and adaptability in
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regular reporting to relevant project and programme boards, highlighting performance against plan and budget, including early warnings of any deviation against these and appropriate strategies to recover
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lectureship centred on building your own internationally recognised research programme, contributing to teaching across our undergraduate and postgraduate programmes, and supervising doctoral students. CHIMES
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that include Manchester, Bangor, Leeds, Liverpool, Lancaster, Sheffield and Strathclyde. The ethos of the programme is to recruit students from across STEM and give them the necessary skills and training
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times. Provide customer facing support for University computer accounts and ID Cards (uCards), assisting visitors, staff and students with service requests. Produce accurate and concise written processes
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the significance of providing outstanding customer service to both customers and colleagues, including identifying needs and responding appropriately based on the situation and organisational culture. Plan, allocate
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this brings while also being capable of taking ownership and progressing your own areas of work. Within Network Services we are expanding our team to support a multi-year programme of network transformation
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factors influence alcohol consumption”. This project aims to develop a cutting-edge computer model that links moment-to-moment, context-sensitive, alcohol-related decisions to population-level consumption