20 senior-lecturer-distributed-computing PhD positions at University of Cambridge in United Kingdom
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PhD student will be trained by a team consisting of a project-specific PDRA as well as Prof. Ringe and Dr Lomonosov (senior research associate in the group), towards gaining technical independence in
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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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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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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier project was selected for funding by the European Research Council...
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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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deliver world class turbine testing at TRL 6 level in the Whittle Laboratory's new National Centre for Propulsion and Power. This will require you to create and execute engineering design, computational
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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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