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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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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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16 Feb 2024 Job Information Organisation/Company Swansea University Department Central Research Field Sociology Political sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 11 Mar 2024 - 23:59 (Europe/London) Type of Contract Other Job...
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16 Feb 2024 Job Information Organisation/Company Swansea University Department Central Research Field Communication sciences Cultural studies Language sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 11 Mar 2024 - 23:59 (Europe/London) Type of...
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. The Tentacle arm and the human-picker are supposed to cooperate, with the arm assisting the picking process while the human-picker carries the arm throughout the plantation. By leveraging the unique capabilities
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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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very efficient and powerful to decipher the relationship between many entangled mechanisms. Many computational models of tumour growth have been developed over the past 20 years to understand
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no individual is disease-free. As such, drug discovery research is focusing on potential interventions that enhance the human health span. One area of research focus is on the reversal of cellular senescence
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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