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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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their effect on the physiology and eating behaviour of dogs. All our canine work is done with pet dogs, volunteered by their owners for study (not dedicated lab animals). This post will be focussed
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
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considered to be self-funded students for the purposes of admission. Applicants should have (or expect to obtain by the start date) at least a first class degree in an Physics, Mathematics, Electrical
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) and apply online. Informal enquiries are welcomed and should be directed to: Dr Belinda Bell, bb326@cam.ac.uk If you have any queries regarding the application process please contact Sam Wyatt, slc74
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. Mastorakos (em257@eng.cam.ac.uk ). If your query concerns the application process, please contact: Mrs Kate Graham, email kag1000@cam.ac.uk . Please quote reference NM46673 on your application and in any
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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well as academically new. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) in Engineering or Physical Sciences. Applicants should be able