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, image analysis, mathematical modelling, and stochastic molecular dynamics simulations to investigate the physical mechanism of how antibiotic treatments ultimately lead to bacterial cell death. The post
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communities and the development of resilience strategies. This will involve data collection from interviews, surveys, participatory creative workshops, literature reviews etc. The researcher will lead or
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apply Overview About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods
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analyst to develop models to predict dental disease outcomes from structured and unstructured patient electronic medical and dental records to lead and proactively support the organisation to deliver
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Department: School of Physical and Chemical Sciences Salary: £40,223 - £44,722 per annum (pro-rata) (Grade 5) Reference: 2131 Location: Mile End Date posted: 29 April 2024 Closing date: 29 May 2024
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. Mark Sephton). The successful applicant will lead on characterising the structural diversity of the biologically relevant, water-soluble carboxylic acids, and establishing their synthetic origin