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hours a week during the academic terms. You will have, or be close to completing, a PhD in applied mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline to
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for better evaluation of LLMs for real world scenarios, both reference-free and benchmark-based evaluation, augmenting LLMs with temporal reasoning and the ability to perform longitudinal predictions with
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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of Reading, Imperial College, London and Tsinghua University. The postholder will also be expected to interact with other members of the LEMONTREE team. The ideal candidate will have: A PhD in environmental
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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. This is part of your personality: Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields Excellent knowledge in computer-aided drug design and medicinal chemistry Publications
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continuous professional development and to be responsible for continually updating knowledge and understanding in field of study, or specialism and for developing skills On site availability and ability
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. The postholder will also be expected to interact with other members of the LEMONTREE team. The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date
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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be