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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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applied metrology and robotics. Vision This project addresses the challenge of rapidly and autonomously generating high-precision 3D reconstructions of large-scale complex assets. Uniquely, it integrates
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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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11.11.2024, Academic staff 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 actual stress
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, livestock, crop monitoring, etc.) [1]. Despite a lot of progress, the value of this large quantity of data remains complex to develop, often not well automatized and underexploited. This data suffers from a
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semester Application deadline The deadline for the DAAD EPOS scholarship via BIGS-DR is 31 August for the following academic year. For applicants with secured funding, the deadline is 1 May for a start in
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behaviour as the temperature drops, combining quantum mechanics, large-scale molecular dynamics, and deep learning. Work with world-leading researchers at Warwick and the Max Planck Institute for Sustainable
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
observation, large, high-resolution datasets are now available for studying Earth’s climate, as well as the environments of Mars and the Moon. Extracting physical information from these datasets involves
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models