205 postdoc-parallel-computing positions at University of Cambridge in United Kingdom
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all disciplines and nationalities who are postdoctoral scholars. As part of the programme, the Research Associate will actively contribute to the life and activities of CCC's Natural History Humanities
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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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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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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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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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-on role – you know how things work. Comfortable with basic paperwork to keep things organised. Good with computers (Word, Excel, Outlook) and willing to learn new things (like how our security alarms work
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one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute's particular strengths are in genomics, computational biology and