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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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progress has been made in finger-scale tactile sensing, challenges persist in developing soft, large-area robotic skin. A major hurdle is gathering sufficient contact information on the robot's surface when
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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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analysis by testing various in-situ applications such Energy Saving Devices. The collected data could be used to build a digital twin. The aim of this PhD project is to demonstrate clean maritime systems
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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information on the Department of Economics and on the PhD specialisation in Economics . Start date: August 2026 The PhD programme The PhD programme at NHH is a four-year fully-funded programme, which combines
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for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE Integrated PhD Program , you will receive rigorous
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Tricia McKeever, School of Medicine, Professor - Tricia.Mckeever@nottingham.ac.uk Funded by the University of Nottingham through one of its PhD Studentship Awards, this fully funded (stipend at UKRI rates