215 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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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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We invite applications for a Clinical Research Fellow to join our multidisciplinary team investigating the role of heat-related gut–microbiota–brain-axis (GMBA) changes in psychosis as part of
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As Foundations for Practice Phase Lead, at the Lincoln Medical School (LMS), you will make a significant leadership contribution to the running of the BMBS programme providing academic oversight
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welfare in off-campus residences. As a Community Engagement Officer, you'll play a pivotal role in delivering a high-quality service to students, community stakeholders, and the public. You'll be
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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meaningfully to the success of the group through consistent effort, a commitment to high-quality research, and a willingness to support collaborative goals. The role holder will have the opportunity to use
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progression beyond this scale is subject to performance Applications are invited for the above post based in the Department of Mechanical, Materials and Manufacturing Engineering in the Faculty of Engineering
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of the business To be successful you will be able to demonstrate your high levels of attention to detail and accuracy and have experience in a data entry or administrative role. You will need to be resilient and
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passion for supporting high-impact research. This is a full time, permanent position. Key Responsibilities: Project Management & Planning: Facilitate day-to-day technical coordination of research projects
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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