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mixtures. Funded by The Leverhulme Trust grant NMR Method for in Situ Monitoring of Heterogeneous Reactions (RPG-2023-105), the appointment will be made as part of a broad project including researchers in
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an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue
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thereafter, for 1 year in the first instance, with the potential for renewal for a further year. The post is part of an EPSRC-funded research programme (PhotoOxyEdit), looking to develop photochemical methods
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, Professor Evangelos (Evan) Kontopantelis. You will need a good first degree (2.1 or above) or equivalent in statistics or a relevant discipline and a PhD in health services research, economics, data science
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in
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We are looking for an enthusiastic NMR spectroscopist to join our team investigating the mechanisms of action of phosphoryl transfer enzymes. The current position will focus on solution NMR methods
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an academic research environment. Experience installing scientific software packages using a variety of methods (e.g. source compilation, containers). A good working knowledge of GPU technologies, installing
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of statistical methods for adaptive sampling. At present, we collect real-time data from patients at regular intervals. We would like the digital system to monitor user data in real-time and learn to dynamically
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binder formulations. You must have, or be about to complete, a PhD qualification (or equivalent) in a relevant academic field. The primary aim of this research project is to develop and maximise
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mycobacteriology, protein expression and tissue culture and will assist with research projects under the supervision of the PI. Carry out established experimental methods and protocols in molecular biology