31 proof-checking-postdoc-computer-science-logic PhD positions at University of Cambridge
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rate; international applicants must cover the difference between home and overseas fees The Department of Materials Science and Metallurgy at the University of Cambridge invites applications for a PhD
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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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
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. Those wishing to be considered should make an application to the doctoral programme at the Department of Social Anthropology to carry out research in the region of Inner Asia, since to be eligible
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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of Cambridge Department of Medicine Molecular Immunity Unit, housed within the MRC Laboratory of Molecular Biology. Shortlisted candidates will be invited to visit the institute to deliver a seminar and
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in grasses. Expertise in molecular biology, genetics and plant developmental biology are required. The successful applicants will be excellent team player's and excited about collaborations at SLCU
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) in a relevant subject (Physics, Chemistry, Materials Science, Chemical Engineering), experimental track record and willingness to learn. Home rate fees are fully funded. Applicants from overseas will
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. See www.autismresearchcentre.com . We use state-of-the-art technology and methodologies in these investigations, including functional and structural magnetic resonance imaging, induced pluripotent stem
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation