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Blumberger, via the ‘Apply’ button above (e: j.blumberger@ucl.ac.uk ) specifying in the subject line “PhD application”. The closing date for applications is 12th April 2026. Informal enquiries can be made
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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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requirements and focusing on data-value maximisation. This project will utilise innovative machine learning methods and tools from process systems engineering to simultaneously optimise product quality and the
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potentially druggable targets. Depending on interest, the student will have an opportunity to contribute to other projects within the team and learn a range of important techniques such as cellular, animal