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We are recruiting a postdoctoral research scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens. The world has never
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objectives. To work with the Principal Investigator and other project members, as appropriate, to identify promising research directions, to develop new research methods, to implement those methods in computer
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
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to learning new skills. We’re looking for two candidates, one with proficiency in quantitative methods and one with both qualitative and quantitative research experience. A recent degree in the social
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project, AMBER, to identify the causal determinants of antidepressant response. Our programme of genetic, informatic and cellular work will give insights into the ‘active ingredients’ of anti-depressants
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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cryo-EM, cryo-ET, FIB milling, and biochemical methods to understand mechanisms of dynein-2 transport, building on recent advances in the group (NSMB 2017 PMID 28394326; NSMB 2019 PMID: 31451806; Cell
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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competence is expected in the use of analytical methods including proton NMR spectroscopy and mass spectrometry for reaction monitoring. Ideally candidates will also be experienced in synthetic organic