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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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between the School of Education and the School of Mathematical Sciences. The Observatory is generating state-of-the-art, evidence-driven, and policy-relevant research to improve mathematical education
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by the SUMIT partners in digital and evaluation activities ensuring that it is distributed throughout the demonstrator sites ensuring that these are delivered to a high standard and in li ne with QUB
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decarbonisation is essential if the UK is to meet statutory greenhouse gas (CO2e) emissions targets. Historically, CO2e emissions reduction measures have not systemically considered physical and mental health
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measures have not systemically considered physical and mental health impacts, or inequalities in their distribution. The new Hub will identify barriers, incentives and accelerants to implementing healthy low
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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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of Earth and Environment (SEE), and working closely with its School of Civil Engineering, you will use various seismic datasets – including data already recorded with fibre-optic distributed sensing systems
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/ research requirements by the SUMIT partners in digital and evaluation activities ensuring that it is distributed throughout the demonstrator sites ensuring that these are delivered to a high standard and in
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form