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also serve as an independent mentor. You will also have opportunities to teach and mentor students for your academic development. The funds for this post are available for 3 years in the first instance
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for industry partners. One of the primary programmes delivers training to enable the upskilling and reskilling of employees to handle complex large datasets using cutting edge statistical and machine learning
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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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Tara Talwar Windsor, and the project PhD student Chalo'a Waya, and focuses on narrative in the modern period as a means by which knowledge travels across class barriers, across time, across space, and
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. The successful applicant will have (or be about to obtain) a PhD in a relevant subject. The applicant is expected to develop new ideas and concepts in the areas outlined below in collaboration with the PI, by
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to learn and enhance current practices in data management within the POP studies. Application process: To view more details about the role and person specification, please click on the Further
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more
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About the Project We invite applications for a fully-funded at Home fees 4-year PhD studentship project to investigate a newly discovered mechanism of translational regulation in bacteria, with
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complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors