240 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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The School of Humanities administration team provides high quality support to academic staff, postgraduate research students and the wider School. We are seeking a proactive and self-motivated team
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modernisation programme – Future Nottingham – we are seeking to appoint a Deputy Chief Operating Officer (DCOO) to join the University and play a central role in delivering our ambitions. We are proud to be a
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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the network directors, co-leads, and colleagues across the partnership to manage the effective administration of the programme. The role will involve planning and management of key functions, including funding
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), organization and properties (e.g. proteomics, glycomics, rheology, supramolecular network organization) will be identified. Cilia function/mucociliary clearance will be characterized using high speed microscopy
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We are looking for two Teaching Associate in the School of Psychology to deliver high quality teaching in one or more of the core areas of Psychology. We believe that diverse teams deliver
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, including teaching, research, and operational functions. You will oversee a mix of in-house and co-sourced audit activity, ensuring high-quality delivery and actionable insights for senior leadership. In
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committed to delivering high-quality administrative support. Experienced in working with confidential information, with an understanding of data protection and GDPR. You will bring considerable administrative
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high-level of independence and leadership the development of the new methodology and synthesis under the direction of Dr Mattia Silvi • Prepare high quality supporting information for publications
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid