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PhD Learning Analytics-based dashboards for supporting students blended learning PhD Learning Analytics-based dashboards for supporting students blended learning Published Deadline Location
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, accurate response prediction models need to be developed. We are building a dynamic model based on data from serial liquid biopsies, tissue and imaging. Preliminary evidence suggest that machine learning
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, and Data Science (including a grasp of Machine Learning). A background in Biology is an asset, but not a prerequisite. In your research, you work with various biodiversity monitoring systems, including
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engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization. Experience with data-driven and/or deep learning approaches and/or algorithmic decision-making, Interest in
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-trust 6G infrastructure. This includes developing machine-learning models adept at detecting and neutralising threats and cyber-attacks within 6G networks. Your work will advance the state-of-the-art by