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their own predictions (to support model-based decision-making and safety-critical applications) Candidate’s profile A good Bachelors degree (2.1 or above or international equivalent) and/or Masters degree in
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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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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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Autonomous vehicles (AVs) are advancing rapidly, yet their safety assurance remains limited by the opacity of modern AI systems. Current machine learning–based decision pipelines often function as
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. This position provides a unique chance for a highly motivated researcher to contribute meaningfully to innovative computational modelling focused on achieving net-zero goals. Number Of Awards 1 Start Date 1st
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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evaporation, and enhancing panel efficiency through water-based cooling. When integrated with electrolysers, FPV can support on-site green hydrogen production—a flexible, storable energy carrier suitable
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, and the ability to think and work independently. A master’s degree is not required if you hold a 2:1 or can demonstrate equivalent experience through work or research-based projects. Essential
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theories and models. This project aims to develop new insights into how bedrock incision processes interact with geological and climatic factors (i.e. spatially variable uplift, shield building, mega
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gut microbiome lab-based models and culture methods, the studentship will explore microbial dynamics, microbe carbohydrate degradation pathways and microbial binding to substrates. These findings will