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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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will make one discovery-scientist post. You will have a track record working on normal breast tissue in vitro modelling and already have an established network of local collaborators, including clinical
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assemblies. This project will use the instrument to measure how many of a given AAV product have filled capsids versus empty and we will compare the data to the efficacy of the drug in animal models. What can
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, within the School of Health Sciences. This is a 1.0 FTE post, for a maximum of 44 months (dependent upon appointment date and probationary review). There is opportunity for a hybrid model of office and