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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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development of open-source tools for the hearing healthcare community. About you You should have a PhD in computer science, biomedical engineering, or a related field with strong expertise in medical image
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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Laboratory in the ‘Digital Innovation Facility’ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant
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to co-create, identify and evaluate solutions to transition to net zero carbon future. You will have: A PhD or equivalent in research experience Strong publication record commensurate with career stage
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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
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Laboratory in the ‘Digital Innovation Facility’ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant
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, Artificial Intelligence, and Smart Cities, as part of a prestigious grant awarded under the UK’s International Science Partnerships Fund Early Career Fellowships programme. The British Council funded
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apply if You have: A relevant PhD (completed or soon to be achieved) preferably in Experimental Psychology, Neuroscience or related fields (e.g. Computer Science, Data Science). Demonstrated experience