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students. The post holder will develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers that test whether local extirpation is
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develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers that test whether local extirpation is prompted by the same
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biological properties of LATs, including particle size, degradation rate, and drug release profiles. You will build representational methods for APIs and excipients, apply Bayesian optimisation to experimental
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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deformation at explosive caldera-forming volcanoes. The first objective of the PDRA will be to create a numerical simulation of magma intrusion within a deep magma mush to resolve its impact on surface
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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across Oxford, Nanyang Technological University and National University of Singapore studying the reliability of LLMs through the lens of uncertainty quantification (UQ), Bayesian inference, conformal
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. The successful applicant will be able to develop relevant research objectives, projects and proposals; design, deliver and analyse experimental studies; engage with people with lived experience of poor
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, alongside and under the supervision of the PI. The post holder will also work closely with Prof. Cloatre and the rest of the team towards the broader objectives of the project and will be embedded in its
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and