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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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Cambridge University Library Storage Facility (LSF), located in Witchford, Ely is looking for an enthusiastic and diligent service orientated person to join its high performing team providing storage and logistics services to the library community in Cambridge. The post requires a very high...
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We seek an energetic and enthusiastic individual to act as Group Administrator to the Computational and Biological Learning Group (CBL). CBL is housed within the Information Engineering Division
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Humanities, the Humanities and Social Sciences and Non-School Institutions. As part of an established team, the post-holder will provide proactive research support across to drive high quality funding
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atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience with radiative transfer models
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Applications are invited to apply for a Research Nurse position within an established translational research programme headed by Dr Massimiliano di Pietro and Professor Rebecca Fitzgerald, focusing
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of an integrated approach to risk-stratified screening, following the success of the BRAID trial. This work will help inform NHS Breast Screening Programme policy, assessing the value of supplemental imaging based
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The Mitchell Group at the Cambridge Early Cancer Institute is seeking a highly motivated and skilled Research Assistant with a background in computational biology to join their team specialising in
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About the division/school: The Mastercard Foundation Climate Resilience and Sustainability Program is a flagship partnership between the University of Cambridge and the Mastercard Foundation
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is to design and develop analytical, computational, and mathematical methods to understand the fundamental processes that govern the evolution of antigenically variable viruses. Our research is highly