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Field
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Human activity recognition (HAR) is a compelling topic in the fields of ubiquitous computing, with numerous applications including human behaviour understanding, smart healthcare, human-computer
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to alternative post-growth and growth-agnostic policy approaches at a wide range of governmental and institutional levels. Research on the relationships between human rights and post-growth proposals such as
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and Experience Essential: C1 Expert knowledge of the subject area. C2 Experience of delivering and supporting undergraduate or postgraduate students either in an online, distance learning or face to
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Supervisor: Dr Helen McKenna ([email protected] ) Applications are invited for a fully funded 3-year PhD studentship to study the effects of altered gas and pressure on the human brain
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prevented through preoperative antibiotics, the effectiveness of which will reduce over time due to anti-microbial resistance. Non-healing wounds (Chronic wounds), such as diabetic foot ulcer, venous leg
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that humans perform. In just one second of speech, we can produce approximately ten speech sounds that require the precise coordination of over 100 muscles. However, producing fluent speech is not always easy
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Tracking of Cognitive Load to Assess Human Factors During Inspections Many industries are relocating workers from hazardous environments to supervisory rooms, where they need to engage with automated systems
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Funding providers: Engineering and Physical Sciences Research Council (EPSRC) and RCNDE Subject areas: Human-Computer Interaction, Machine Learning Project start date: 1 October 2024 (Enrolment open
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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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from the vasculature of human kidneys. With this studentship we aim to explore three key concepts with the aim of bridging this basic research to a stronger position for clinical application: Assessing