35 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Cambridge
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the University's Applicant Portal for a PhD in PhD in Medicine. Please apply via the application portal here - https://www.postgraduate.study.cam.ac.uk/courses/directory/cvmdpdmed Please quote reference RC45508
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AHRC Collections & Communities in the East of England Collaborative Doctoral Partnership (CDP) PhD studentship: Reimagining Caribbean Collections: Unveiling Histories of Identity and Wellbeing
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for the award, applicants must be accepted onto the doctoral programme. Candidates must apply for the PhD in Social Anthropology through the University's Graduate Admissions application portal by no later than
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Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Dr Topun Austin starting
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Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD
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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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the research project, particularly on the passive control of tip vortices with permeable tip treatment with experimental and/or computational fluid dynamics approaches. This will entail both independent research
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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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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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