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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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et al. 2022; Mainstone et al. 2018; Datry et al. 2016). Streams are often flagged as intermittent based on downstream flows, but where or how they dry is not known. Capturing the evolution of river
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comprehensive framework for modelling gravitational wave signals from precessing eccentric compact binaries across the full detector landscape, from ground-based instruments such as LIGO and Virgo through
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anthropogenic activities, as well as limitations of existing models in effectively integrating human data to quantify human influence. Foundation AI models offer significant potential due to their strength in
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that utilize imposed flows or chemical influences or electrical fields to manipulate an active drop’s motion, but a systematic first-principles-based analysis of these effects is severely lacking. This limits
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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them to government policy and targets. The model will be based on past transport and energy sector transitions and applied to the clean energy transition. On completion, the student will gain expertise
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into standardized features. Transformer-Based Risk Prediction: A central component of this project involves developing your own time-aware transformer model. This predictive back-end will be trained on world-leading
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: Deterministic modelling based on historical and modern data. Geoscience Letters, 8(1), p.20. Zorn, E.U. et al, 2022. Identification and ranking of subaerial volcanic tsunami hazard sources in Southeast Asia
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aims to design and study advanced porous solids, such as MOFs, COFs, zeolites, carbonaceous materials, etc., for: Selective CO₂ capture and separation from gas streams Adsorption-based cooling and heat