236 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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supporting change and continuous improvement aligned to the overall HR strategy, vision and values. You will monitor team performance against set key performance indicators, prioritising recruitment activity
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. Based in locations across all our UK campuses, we work as one service to provide collaboratively conceived, locally managed and collectively delivered services to students from all our Schools and...
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are looking for a friendly, engaging, enthusiastic person to join the Mathematical Sciences and Computer
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to provide a high level of specialist technical support to the teaching and research laboratories of the Department. Applications are invited for this fixed-term post in CEE, with responsibility
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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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We are seeking a self-motivated and collaborative individual to take on a key responsibility in co-ordinating the submission of high-quality REF Impact Case Studies and associated statements
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animal facilities, with a particular focus on farm animals, and assisting in the delivery of high-quality husbandry and welfare practices in line with the University’s gold standard. As a key member of our
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, excellent communication abilities, and the capacity to work under pressure while maintaining high standards. You should have experience in relevant technical techniques and equipment, an understanding
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provide a high standard of administrative support to ensure a positive experience for all prospective students. We are looking for someone with: Strong organisational and administrative skills. Excellent
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling