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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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decisions regarding the technological obsolesce of telecoms under real-world uncertainties. Benefits of joining this project: This project will give an opportunity for the student to explore the area of
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