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in Engineering Mathematics, Data Science, Fintech, Digital Health, and Robotics. We are most keen to hear from those interested in teaching artificial intelligence. This could be attractive to you if
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outcomes. It will also incorporate genetic data within the economic and social sciences. The project is based in the School of Economics, but it involves collaborations across multiple disciplines
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opportunity to collaborate with experiments. This position would suit a researcher who has recently completed a PhD in Chemistry, Biochemistry or close to completion or related field and expertise in
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Children (http://www.bristol.ac.uk/alspac/researchers/our-data/ ), UK Biobank) and techniques in genetic (e.g., Mendelian randomization) and observational epidemiology. This is a predominantly epidemiology
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classical fluid systems and the burgeoning field of active and driven matter and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD
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and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD students or postdoctoral scholars who are comfortable crossing
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local climate patterns of change. The resulting probabilistic information can guide risk assessment of a range of climate scenarios. You will have a PhD or are close to finishing a PhD in a relevant
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reality, software development, biomolecular simulation and data analysis, and the opportunity to collaborate with experiments. This position would suit a researcher who has recently completed a PhD in
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situ structural biology of phagocytic events. You will: Lead research into in situ structural biology of phagocytosis, including cryo-FIB-SEM sample prep and data acquisition, cryo-electron tomography
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digital chemistry, reducing the timescale of experimental and computational mechanistic studies from years to weeks or days, and so achieving rapid implementation of EAM-catalysed transformations by the end