37 post-doc-image-engineering-computer-vision PhD positions at University of Cambridge
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Fixed-term: The funds for this post are available until 30 April 2027 in the first instance with good prospects for further extension subject to grant funding. The anticipated start date is 1st
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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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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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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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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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into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
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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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personal and professional development. Contribute to education and training activities within DPHPC. Participate in CCGE and DPHPC activities, meetings, and seminars as appropriate. The funds for these posts
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training activities within DPHPC. - Participate in CCGE and DPHPC activities, meetings, and seminars as appropriate. The funding for this post is available for one year from commencement in employment in
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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