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Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach (Ecstatic) The Comparative Judgment (CJ) method, which has gained traction in UK schools over the past decade, involves assessors
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Funding providers: Swansea University's Faculty of Science and Engineering and No More Marking Ltd Subject areas: Human-Centred Artificial Intelligence, Optimisation, and Decision-Making Project
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allowance of £24,000, a research training grant + UKRI fees paid. Overview There is a need for an easy-to-use testing device to detect the presence of human faecal matter rapidly and sensitively in water
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@leeds.ac.uk Project summary When sorting and packing nuclear waste items, the current practice typically involves human operators wearing full PPEs and/or remotely controlled robotic arms. Major constraints
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the context of climate change/global warming. The project will involve laboratory-based human data collection (cross-sectional or intervention studies) to understand the impact of hydration/24-h water intake on
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such as human resources personnel, safety managers and occupational health staff, in order to design, test and pilot intervention content, based around necessary adaptations to fit the offshore work
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health, wellbeing and productivity can be improved and sustained for those at risk of poor health and wellbeing. The student will work directly with offshore workers, as well as stakeholders such as human
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human datasets to uncover the causal mechanisms leading to metabolic or psychological health problems. Professor Barroso is a world leader in the genetic aetiology and mechanisms of type 2 diabetes and
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warning is ‘30% technology and 70% communication’. This project will deliver inter-disciplinary research to address this important challenge. Methodology The aim is to apply a newly developed Coupled Human
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to monitor varying severity within the pulmonary vasculature and tissue in vivo there is a clear unmet need to qualify and quantify EIPH severity and progression. In human medicine, the advent of ‘omics