96 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions at University of Leicester
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About the role You will contribute to breathlessness research within the Division of Respiratory Sciences, specifically supporting the Artificial Intelligence assisted earlier Respiratory Evaluation
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. This new research programme aims to transform land use to achieve net zero, nature, and people. To achieve this, a large-scale transformation is urgently needed in the way land is used and managed. Your role
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scientists, and respiratory clinicians. The candidate will have specific responsibilities within an established research programme and to work collaboratively and independently to achieve defined milestones
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for deployment on edge‑computing platforms. You will also develop demonstrators to evidence the research outcomes, work independently on project milestones and contribute to publications, reports and conference
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About the role We are seeking a talented and motivated Research Associate to join the University of Leicester’s School of Computing and Mathematical Sciences as part of the UKRI/Horizon Europe
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part of an interdisciplinary team based at the Department of Biochemistry, University of Cambridge (Professors Chris Smith and Dr Katherine Stott) and the College of Life Sciences, University
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models of inclusive leadership for sustained change. 5. To robustly evaluate each of the pilot projects About the School of Computing and Mathematical Sciences (CMS) As an Evaluation RA you will be located
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About the role As a Research Associate in the Division of Public Health and Epidemiology, you will contribute to a research programme examining how air pollution exposure influences health outcomes
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About the role The new MPharm program, at the University of Leicester, is located in a School of Healthcare, alongside Schools of Medicine, Biology and Psychology. With extensive local expertise in
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have demonstrable experience in the statistical and computational methods underpinning statistical genetics research. You will bring strong quantitative and programming skills, experience working with