76 postdoc-image-processing PhD positions at University of Nottingham in United Kingdom
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools
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regeneration, resulting in significant energy penalties and limited operational flexibility. This project proposes a novel biomass-based negative emissions process that leverages the reversible CaO/CaCO
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), produce a flue gas with a high concentration of CO2 that allows easier sequestration without energy-intensive preprocessing. However, production of oxygen is an energy-intensive process. Industrial scale
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recognised as a critical pathway for net-negative emissions but current systems are energy-intensive and inflexible. This project proposes a novel biomass-based negative emissions process using the reversible
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries may be addressed to: Dr
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to £25,000 per year for 4 years. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries
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sustainable chemical and biocatalytic process development. Vision We are seeking a motivated PhD student to develop a strong experimental understanding of enzyme selectivity when processing mixed biomass
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems