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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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e-commerce platforms to free-to-play apps; and the ability of vocal cues to subtly change behaviour. Other critical computing topics that may be difficult to research in certain nations at this time
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drugged. The project will take the existing datasets we have established, to identify specific proteins (from our short-list of candidates) and to conduct detailed functional characterisation
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-called "dark patterns" and manipulative tactics in the user interfaces of a range of technologies voice and vocal cues that subtly change behaviour Other critical computing topics that may be difficult
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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the Engineering Department. The academic supervisor will be Professor Nathan Crilly who has over twenty years' experience researching human behaviour as it relates to users, consumers, inventors and designers
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to undertake a PhD. Please also state how you learned of the studentship. For queries regarding the studentship, please contact Jo at BalasubramanianRecruitment@ch.cam.ac.uk . Interviews will
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recommendations. Adopt and champion the ROCRS (Research in Oregon Communities' Review System) process, supporting its rollout and training of other researchers. Conduct qualitative, anthropological research
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combines hands-on training, cohort-based learning, and cutting-edge research, preparing graduates for careers in academia, industry, startups, and beyond. We welcome applicants from the Physical Sciences