35 web-programmer-developer "PhD Jobs.NET" PhD positions at University of Cambridge in United Kingdom
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Cambridge, Cambridgeshire, UK. The key responsibilities and duties are: Develop methods for the design, fabrication, testing and analysis of lightweight low carbon concrete structures that use auxetic fabrics
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities. Support an investigation into carbon
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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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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
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Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to perform experiments with liquid-fuelled and hydrogen flames, employ laser diagnostics, analyse the results, prepare presentations
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Research Council Career Development Award, or European Research Council Starting Grant. The award will be held in CITIID, either within the Jeffrey Cheah Biomedical Centre or within the University
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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the development of globally inclusive language technologies and to design transformative approaches to overcome them. Responsibilities of the post holders include the development of new methods for multilingual
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs