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Field
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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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., 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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) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
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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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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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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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international collaborations, including the Observational Health Data Sciences and Informatics (OHDSI) initiative, a global consortium dedicated to harnessing the value of health data via large-scale analytics
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toolsets: generating proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m