218 postdoc-parallel-computing positions at University of Cambridge in United Kingdom
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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RNA or ribosome-associated structures. Computational and Bioinformatic Analysis Handling and interpreting large datasets, sequence conservation, RNA structure modelling, and more. You will be supported
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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developing theoretical and computational methods to investigate biological systems. Preference will be given to candidates with experience in modeling the genetic basis of phenotypic variability. The candidate
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Assistance Programme On-site parking To download an application pack please visit www.emma.cam.ac.uk/about/jobs .Completed applications should be marked ‘Strictly Private & Confidential’ and sent via email to
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experience of students by offering guidance to academics, departmental administrators & computing officers, and provide systems advice to management and university governance groups. You will play a vital part
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assurance, employee assistance programme, free on-site parking, free use of gym and swimming pool, free lunch plus other benefits commensurate with working for a large Cambridge University College. How