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and an interest in and familiarity with computational protein engineering approaches is essential. Hands-on experience in computational protein design and engineering is desirable. The ability to work
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of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Education: An excellent first degree in computer science, engineering or a closely related field Skills and
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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