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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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researchers at the CCGE, Oregon Health & Science University (OHSU), and the German Cancer Research Centre (DKFZ). This research is part of a Cancer Research UK International Alliance for Cancer Early Detection
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. Applications are invited for this one-year post-graduate training programme based in the Queen's Veterinary School Small Animal Hospital. On site accommodation is available for £300 per month including bills
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://www.damtp.cam.ac.uk/ ). The Faculty is responsible for ensuring the provision of appropriate instruction and adequate facilities for research, for preparing the teaching programme, and for ensuring that the teaching
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer
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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities. Support an investigation into carbon
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-disciplinary collaborative University-based research programme is essential. Our research will require you to deal with a wide range of people and have excellent written and spoken communication skills
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, and/or RNA-seq. Proficiency in programming languages commonly used in genomics, such as Python and/or R, along with familiarity with Bash scripting, is essential. The ideal candidate will demonstrate
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other benefits: 25 days holiday in addition to English bank and public holidays excellent contributory pension schemes Non-contractual Christmas bonus free lunch when working in College access