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-efficient, flexible, and sustainable separation processes. However, their success depends critically on the discovery of high-performance sorbents that combine strong CO2 affinity with efficient
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will combine digital twins based on established process designs and process engineering fundamentals with data-driven optimisation techniques, specifically Bayesian statistics and Bayesian optimisation
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internship, or industrial placement) Wet lab experience How to apply: To apply email Professor Andrea Cortese at andrea.cortese@ucl.ac.uk with a single combined pdf (labelled as: �Your Name_RFC1 PhD
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