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Field
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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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, and AI-driven sensing, this PhD offers a rare opportunity to develop in-demand skills in advanced mobile robotics, intelligent automation, data fusion, artificial intelligence (AI), precision metrology
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of pathogens in the UK. We are seeking a PhD student to perform a project analysing the MScape metagenomic surveillance of infectious disease data set. We aim to recreate strain level information of pathogens
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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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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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microscopy is often limited by slow acquisition speeds and large volumes of redundant data, restricting its applicability in real-world scenarios. The goal of this PhD project is to develop a snapshot spatio
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sustainability assessment tasks in agri-food systems with IoT-data Data lakes and Large Language Models. PhD grantors: Aarhus University (DK) & Université Libre Bruxelles (BE); keywords: data lakes, LLMs
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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microbial species distributions respond to ongoing climate change. The four-year project will build on time series data on microbial biodiversity changes across large temporal and geographical extents, based
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An exciting PhD Studentship fully funded by the North West Social Science Doctoral Training Partnership (NWSSDTP) is available at the Faculty of Health and Medicine (Lancaster University) and