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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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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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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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to demonstrate a keen interest in aspects of logistics and its role in the modern world. This studentship will cover University fees for applicant with 'home' fee status and a maintenance allowance of at least
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in Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
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other common conditions in pet dogs, then use comparative genomics to determine those genes also relevant to humans. Genes and variants responsible are studied in the molecular biology lab and by testing
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Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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://www.postgraduate.study.cam.ac.uk/courses/directory/cvmdpdmed For eligibility for home fees please check: https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status . All applications should be made online via