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description and person specification. Research Environment: Royal Holloway’s Astronomy Group covers a wide range of topics in astrophysics and astronomy, including stellar astrophysics, supernovae, radio
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uncertainty. Relevant areas include interpretable probabilistic, causal, Bayesian, and knowledge-based networks. While expertise in electromagnetics is not essential, applicants must be willing to broaden
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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the diagnosis of common blood disorders in diverse and admixed populations. They will have experience and knowledge of machine learning and federated learning methodology. They will also have the opportunity
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approach. About You The ideal candidate will have a PhD (or close to completion) in areas related to AI and/or animal cognition, behavioural neuroscience. You should have general experience with research in
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comfortable liaising with stakeholders across the equestrian industry. We are looking for a pro-active team player with knowledge of the UK equine industry, including racing. In return, we offer a supportive
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. Applicants should have a PhD in Cultural Geography, Environmental Arts or a closely related field; knowledge of current climate- and ocean-related scholarship in the Blue Humanities; a track record of