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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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, have an ability to plan and prioritise your own workload, with general supervision, and you will have an ability to work within a team environment. You will have excellent interpersonal and communication
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, economics, engineering, statistics, or computer science. They will possess programming skills in at least one language, with experience in MATLAB and STATA considered desirable but not essential. Strong
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should have: Undergraduate or Master’s degree in Economics or another quantitative discipline (completed by start date). Advanced programming skills in Python and either R or STATA. Willingness and ability
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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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initially, with possibility of extension. Although the post is particularly well-suited to candidates who ultimately plan to pursue a PhD, we ask applicants to commit to at least 12 months in the role so that
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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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. Programming hardware control and user interfaces for data capture, and automation to enable these techniques. Writing and publishing journal papers on experimental findings. Playing an active role in the day-to
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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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The GOdogs group is looking to appoint researcher to our group which studies the genetics of obesity, starting with canine genetics but with a strong programme of allied human comparative genetics