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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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surveillance of pathogens through samples such as respiratory infection samples. One such UKHSA project is MScape, which is using deposition of metagenomic diagnostic sequencing data to perform surveillance
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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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., renewable energy sources, Energy Saving Devices) have been proposed to mitigate ship generated Greenhouse Gas (GHGs) emissions. To maximise and sustain the performance of such solutions, big data collected
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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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different types of data—such as audio, motion, images and sensor signals—can be combined using minimal representations without relying on large, computationally intensive models. Key objectives include
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-on experiments & development and opportunities for travel to international facilities. This project is supported by the large investment of a URKI Future Leaders Fellowship to identify, synthesise and explore new