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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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is part of the Warwick Industrial Fellowships (WIF) scheme and the associated PhD student will have the opportunity to work closely with JLR engineers at Gaydon and Whitley, with access to sites and
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opportunity for the appointee to work in collaboration with a global leader in fermentation to identify microbes that are antagonistic to problem organisms in food and agriculture. The appointee will develop
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Water, the student will use the Complex Value Optimisation for Resource Recovery (CVORR) methodology to design a practical decision-support tool for identifying, quantifying, and advancing circular
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crucial role in paper manufacturing, enhancing paper strength, surface properties, and printability. However, variability in starch quality, processing conditions, and raw material properties can
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Biological Team. These exciting and interesting jobs put you at the heart of the important work of the VMD’s Biologicals Section and the authorisation in the UK of biological/immunological veterinary medicinal
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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By
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important across different industries. To reduce the carbon footprint of power transformers, a complete life cycle assessment (LCA) including raw materials, design, manufacture, transport, operation
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine