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testing, numerical modelling, and machine learning (ML) aided design approach will be adopted, utilising the respective expertise in Brazil (testing and wind tower design experience) and the UK (modelling
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of peripheral biomarkers with experience covering pre-clinical models and translational and clinical projects. The post-holder will work closely with clinical teams and translational scientists andwill be
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will 1) develop a hydrofibre based dressing loaded with AMP and perform confirmatory spectrum-of-efficacy studies using established wound models; and 2) compile a robust regulatory package including in
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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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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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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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growing team of robotics and AI researchers focusing on applications in challenging environments, focusing on guaranteed-safe technologies using model-based control combined with additional sensorial