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will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental
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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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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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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
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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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on creating new formulations, improving drug delivery strategies, and developing predictive models to accelerate the clinical translation of LATs. The role will focus on the formulation of LATs based
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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