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2026 Additional Funding Information This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD CASE studentship with Inspiralis Limited. The studentship
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, will be trained on simulation data to create dynamic, adaptive control systems that optimise operation in real-time across multiple variables. This research will deliver a validated roadmap to 60
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found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. We ask all
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experimental chemistry. Additional training in a wide range of soft and hard skills is available at the University. What you will do: This PhD project aims to bring together multi-scale modelling and data-driven
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
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/about/our-faculty-and-staff www.hw.ac.uk/ebs/about/departments For further information about the scheme and the application process, please visit: www.sgsss.ac.uk/studentships/open-competition Informal
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ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions estimates, based on inventory-style accounting and mobile tracking data, can differ significantly from each
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, and information about the upcoming webinar, please visit: https://www.rca.ac.uk/study/apply-to-study/funding-your-studies/funding-for-mphil-and-phd-students/doctoral-landscape-sch-net-zero-futures/ RCA
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at