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the robot has made a mistake, in real time and without delay. To build these SLU algorithms, the project will involve collecting data with pairs of human participants in a Virtual Reality environment. The
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focus of this project. Both UT and XCT techniques can produce large 3D datasets that can be challenging to interrogate for human experts to fully analyse. Small defects or anomalies may be missed when
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Laboratory has material and human resources, with the aim of facilitating the materialization of ideas and projects through realistic material models (physical and digital). Requirements Research
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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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. However, medical doctors still analyze the collected physiological data in a univariate approach as historically developed. Currently, in the research community, the human body is considered as a dynamic
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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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Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML) This project represents a new approach to map dynamical interactions in networks of human cardiac cells. Network dyssynchronisation is a
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the history of the first fifty years of the Goodwill Message, analysing how visions of peace were articulated in the face of international turmoil and questioning how young people appear in the historical
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Marie Sk?odowska-Curie Actions project DIGITAL. Information about all other positions is available at EURAXESS, if you are interested in any of the other positions as well, clearly state that in your
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Website https://www.swansea.ac.uk/postgraduate/scholarships/research/history-ahrc-phd-arts-2024-rs595.php?utm_source=euraxess&utm_medium=scholarship&utm_campaign=postgraduate24&utm_content=pgr Street