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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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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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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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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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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
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Primary supervisor - Prof Daniel Brewer Background With an incidence of >1.4 million cases worldwide, prostate cancer is the most common non-skin cancer in men. One in eight men will obtain a diagnosis in their lifetime. However, this is doubled in men of African descent and tends to be more...
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/fees-and-funding/scholarships-research-students/project-related-phd-studentships/human-computer-interaction-ai-film-tv The anticipated start date is 1st October 2024. Candidate’s profile The candidate