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. This project aims to establish the safety limits for in vivo use, develop the optimal operational conditions for the proposed device and create software for device operation, data collection, analysis and
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the most pressing areas of fundamental understanding which are currently lacking and need to be overcome in order for the four PV device concepts to be optimized. The modelling findings on a range of
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optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical
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in the annotated and non-annotated genome space. Writing optimised R- or python-based scripts and train group members on using these to analyse their own datasets optimally. Writing scientific papers
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specific behaviors, analyzing and interpreting imaging data to support neuroscience research objectives, collaborating with interdisciplinary teams to develop and optimize imaging protocols, and performing
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intelligence (AI) for application in medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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specific behaviours, analysing and interpreting imaging data to support neuroscience research objectives, collaborating with interdisciplinary teams to develop and optimize imaging protocols, and performing
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, fabrication, and testing of functional thin film coatings. Key responsibilities include: Developing and optimizing advanced surfaces using state-of-the-art thin film technologies Characterizing prepared thin
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employed for optimization of the transparency of the Schottky barrier and for promoting performance of Josephson field-effect transistors (JoFETs). With sufficient coherence, these JoFETs components will