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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
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PhD Studentship - Process Industries: Net Zero - Optimisation bio-methanol production from high-moisture feedstock Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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intensifying droughts and extreme rainfall in the UK, posing new challenges for the country’s extensive network of flood defence levees. While much attention has focused on flood overtopping, drought can degrade
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Drought Impacts on the UK Levee Network: Asset Health and Resilience Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional
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. Overview This project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The aim of the PINZ CDT is to train the next generation of chemical engineers and chemists
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) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is problematic for both clinicians and patients. The PhD provides an opportunity to develop
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) sensor data. This will be a small system-on-chip designed to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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tissue, radiologists insert a localisation device (RFID, magnetic seed) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is