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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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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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breeding. The project will involve extensive industry consultation therefore the ideal candidate will be possess strong communication, relationship-building, and analytical skills and be confident working in
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existing biomedical foundation models (e.g., Med-PaLM) using techniques like Low-Rank Adaptation (LoRA). Big Data Analytics: Managing and analysing complex, multi-modal data from globally significant
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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profound interest in inorganic chemistry, both in experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work
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aims to quantify how the superficial geology, bedrock aquifers and mine systems of Gateshead and Newcastle influences groundwater flood risk and water contamination. For further information
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knowledge needed for the next generation of environmental scientists. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link
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University. Your work will contribute to safeguarding communities and critical infrastructure in a changing climate, making a real-world impact through science. For further information on the project, we will
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well as at CEH and UCL. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https