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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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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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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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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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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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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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in the first instance, but this is part of a rolling programme with the potential for extension. Applicants should have completed (or be about to complete) a Ph.D. in chemistry or chemical engineering
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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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We are looking to recruit a part-time 0.2 FTE Teaching Associate, as soon as possible to provide teaching and assessment in the Department of Land Economy on the Mphil programme in Real Estate
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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