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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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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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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