226 postdoc-parallel-computing positions at University of Cambridge in United Kingdom
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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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, appraisal and probation progress. You will report to the Senior HR Coordinator and working closely with the professional services teams and wider University. Ideally you will be computer literate and have
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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
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to the development and delivery of the Department's undergraduate programme in experimental engineering. The bulk of their time will be devoted to demonstrating and marking undergraduate laboratory exercises, but
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, health cash plan, life 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
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including a generous pension scheme, discount portal, cycle to work scheme, access to the University accommodation service, relocation support, employee assistance programme, family friendly policies along
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Programme On-site parking For further information please visit www.emma.cam.ac.uk/about/jobs . Completed applications should be marked ‘Strictly Private & Confidential’ and sent via email to HR@emma.cam.ac.uk