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under uncertainty (Studentship code MSP106) Learning to sample: Meta-optimisation of gradient flows using reinforcement learning (Studentship code MSP107) Dynamic Bayesian modelling of endurance sports
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receive training and skills in some of the following: meta-barcoding, stable isotope analysis, trophic-web analysis, Bayesian statistics, wet-lab experimentation – respirometry, fieldwork. Previous
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, stable isotope analysis, trophic-web analysis, Bayesian statistics, wet-lab experimentation – respirometry, fieldwork. Previous experience in any of these areas is useful but not essential. Diving
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) is key to unlocking deep-water renewable energy and achieving the global Net Zero targets. However, dynamic power cables that connect floating wind turbines to the seabed remain one of the challenging
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aviation remains a global challenge, driving the UK and the EU to introduce ambitious Sustainable Aviation Fuel (SAF) mandates that target 22% renewable blending by 2040 and 70% by 2050. However, current SAF
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(CCS) strategies aim to mitigate climate change in the support of the UK’s net-zero target for 2050. However, injection of CO2 into deep saline aquifers initiate a series of geochemical reactions leading
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-zero target for 2050. However, injection of CO2 into deep saline aquifers initiate a series of geochemical reactions leading to mineral dissolution followed by the precipitation of secondary minerals
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Sustainable Aviation Fuel (SAF) mandates that target 22% renewable blending by 2040 and 70% by 2050. However, current SAF routes like HEFA and ATJ depend on costly, food-based feedstocks. This project addresses
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). Additional project costs will also be provided. Overview Offshore Floating Wind (OFW) is key to unlocking deep-water renewable energy and achieving the global Net Zero targets. However, dynamic power cables
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both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive electricity consumers, they could act as active participants in integrated