11 software-verification-computer-science PhD scholarships at University of Cambridge
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of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Education: An excellent first degree in computer science, engineering or a closely related field Skills and
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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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The UKRI-funded 5-year project, 'Colombo: Layered Histories in the Global South City', selected for funding by the European Research Council under its 'HORIZON' programme, is recruiting to its
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in Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
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the cerebral cortex. fUS ultrasound waves are similar to CUS but using novel image reconstruction techniques and parallel computing technologies reaching 10,000 frames per second, enables very sensitive mapping
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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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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 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