32 phd-position-in-computer-vision PhD positions at University of Cambridge in United Kingdom
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A position exists for a Research Assistant/Associate in High TRL Aerothermal Testing at the Department of Engineering. You will join the growing National Centre for Propulsion and Power team, based
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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of transposon-derived variation and its role in functional genetic variation and genome evolution in animals. A PhD in a biological science or computational science is essential for this role. Those who have
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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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community of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience
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suited to candidates with strong quantitative and analytical skills and a PhD (or near completion) in cancer epidemiology or a related field. Applicants should have experience in applying or developing
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duties involve supporting computational infrastructure, coordinating with wider spectroscopic project teams and external science users, contributing to documentation and user manuals, and collaborating
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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
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track record in the fields of immunology or infectious diseases, compelling research plans that complement ongoing work at CITIID, and a strong commitment to contributing to a positive, collaborative
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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