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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC The Department of Chemistry – BMC conducts research and education in analytical
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social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic
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-supervised by Dr John Low in the Energy Innovation Centre in the Warwick Manufacturing Group (WMG), and Prof. Richard Walton in the Department of Chemistry (Materials and Analytical Science) in collaboration
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sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
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degree corresponding to at least 240 higher education credits in analytical chemistry, data science, water engineering, or aquatic science Basic knowledge of analytical chemistry and data science
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focus on developing a dashboard solution to visualise raw sensor data and transformed/congregated data through AI and other data analytics methods. This will also involve integrating multiple data sources
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programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry and organic chemistry. More information about us, please visit: the Department
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application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project: This project aims to explore
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
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transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national