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heat flux. Design, modify, and test novel heating surfaces that more accurately replicate industrial conditions. Develop advanced post-processing methods to extract key local quantities associated with
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data, you will develop an AI-driven optimisation framework to identify where such interventions can deliver the greatest combined benefits for people and the environment. The research combines urban
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The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
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faculty aims to provide solutions to important problems of the 21st century. To that end, we educate innovative students in broad Bachelor's and specialist Master's programmes with a strong research
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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depend on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function (if the candidate has a strong biological background), developing theory and
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cell types, neural circuits, and ultimately behavior. By uncovering the molecular and cellular basis of complex brain disorders, the program aims to pave the way for the development of novel, targeted
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BSc and MSc programmes. Activities may include conducting tutorials, student supervision and public outreach. This experience will help you develop teaching skills and explore whether you see a future
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respond to intense rainfall and enhanced sediment transport. The successful candidate will develop advanced skills in geomorphology, hydrology, environmental data analysis, and climate resilience
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project