13 bayesian-object-tracking PhD positions at University of Cambridge in United Kingdom
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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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experience: A strong track record of previous research in multilingual NLP Track record of authoring high quality academic publications Excellent programming skills Excellent oral and written communication
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study of some of Egypt's earliest metal objects found in funerary contexts. Using advanced non-invasive analytical techniques, the research will evaluate manufacturing methods, technological choices, and
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research project results in a fluid mechanics context, i.e. a record of peer-reviewed journal papers in a relevant area. Proven track record, supported by high-impact publications as first author, of
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aligned with the objectives of the CCGE. These include cancer risk estimation and the investigation of the genetic and clinical epidemiology for genetically susceptible individuals. This role is ideally
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the AHRC's Collaborative Doctoral Partnership Scheme. This interdisciplinary project explores over 3,000 pre-Columbian archaeological objects and extensive botanical specimens from the Caribbean, housed across
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track record of successfully delivering aerothermal technology development projects, with specific skills relating to rotating turbine tests. We are looking for a diverse skillset, including good
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. The successful applicants will have a track record of science communication (e.g. presentations, outreach activities, teaching), and will have published in the field of plant biology. The successful applicants
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. Responsibilities range from monitoring instrument health and scientific quality of the data, tracking progress of the surveys, to preparing for community observing campaigns and data releases. The role's additional