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both to those with a research background and to those with legal practice or teaching and learning experience who will be able to contribute and lead on our co-curricular offering to students. Those
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students. The computer revolution started here in 1948 when a machine known affectionately as ‘The Baby’, ran its first stored program. The celebrated wartime codebreaker Alan Turing worked on this computer
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of antiviral host-mechanisms and comparative virology datasets, including those derived from transcriptomics experiments. The role will also involve the application of machine learning approaches to virus
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teach postgraduate students who are well motivated to develop their English language and academic literacy skills conduct online tutorials, attend staff meetings and standardisation sessions (both in
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agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an
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, you will work closely with our technical and academic colleagues to shape the delivery of practical hands-on learning experiences for students on our specialist programmes. You will be supporting
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the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
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Assistant or Research Associate levels, to contribute to cutting-edge research in machine learning for time series health and care data with opportunities for innovation, interdisciplinary collaboration, and
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
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a useful reconstructed image by employing a suite of AI/machine learning tools with limited impact on the task dependence. Specifically, the successful candidate will develop models and methodologies