9 bayesian-object-detection 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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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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an account with our recruitment system (if you have not already) and apply online. Please notice that if you have not received any news from us 1 month after the closing date you should consider
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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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. There is an urgent unmet need to find new antibiotics against these pathogens (although little progress has been made in the last 40 years. Phenotypic screening has failed to find new compounds with novel
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and functional/molecular studies. Whilst the focus of this recruitment drive is to find a candidate with genomics expertise, enquiries would also be welcome from molecular biologists interested in using
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predicting better oncological treatment responses. The problem is that we only find these subtypes some weeks after surgery. If we could diagnose the subtype of tumour intra-operatively, there may be