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to develop strategies that lead to Net Zero requires that the relevant data is combined together to form big data sets that can be used in machine learning. Large data sets are stored in a variety of
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of Big Data and remote sensing in animal management, is revolutionising the way we understand animals, their interaction with the environment and, crucially, how we farm sustainably. In
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of their resilience in the “as-is” state and (d) resilience enhancement for different proactive/restoration measures. The main scope of this PhD is to develop a practical methodology for enabling a resilience-informed
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efficiency is crucial for optimizing port performance. PhD position 1: Big Data Analytics and AI in Port Performance Optimization – Infrastructure State. As a PhD candidate for Infrastructure State, you will
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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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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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The Space System Engineering (SpaSys) research group at SnT is seeking to hire a highly motivated PhD candidate for investigations in the area of large spacecraft formation flight, that is, a swarm
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for an ambitious PhD graduate or post-doctoral data scientist with the ability and confidence to lead the development and implementation of multi-omics frameworks and the ambition to identify potential translational