69 web-developer-"https:" "https:" "https:" PhD positions at University of Nottingham
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). The AI DTC is an initiative by the University of Nottingham to develop future researchers and leaders who can address key challenges of the 21st century through foundational and applied AI research
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researcher to join a multidisciplinary project developing environmentally friendly, enzyme‑based technologies for tackling oil spills. This fully funded studentship offers the opportunity to make a real-world
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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Airbus’ ZEROe concepts. However, liquid hydrogen fuel systems remain largely unstudied and critical fundamental research and modelling capability needs to be developed to strengthen the necessary
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placement within Siemens Digital Industry Software. Project Overview The project focuses on developing and integrating ML techniques to enhance wall treatments for under-resolved boundary layers in
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simulation, composites manufacturing and advanced sensing techniques. The project will provide opportunities to develop skills in these areas and contribute to the development of the next generation composite
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD researcher to join a multidisciplinary project developing environmentally friendly
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this challenge directly, combining food chemistry, flavour science, and data-driven modelling to develop sodium-reduced coating systems that are healthier, more sustainable, and commercially viable. The project
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, providing a strong interdisciplinary environment for doctoral research. Vision This project aims to transform the UK school estate by developing evidence-based, climate-resilient retrofit strategies