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surveillance) sensors can also be seen as temporal events. While data from current sensors can be manually converted into events for fast processing, it is also possible to develop hybrid structures where some
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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students and postdoctoral researchers. Key responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and
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of persisters and infected macrophages during acute infection and antibiotic exposure, using advanced infection model systems; and (2) to identify novel immunomodulatory or persister-targeting strategies
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committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver
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: Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna. Dedicated to a mechanistic
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is a highly interdisciplinary collection of researchers from across the breadth of the University’s structure, drawing on experts from all three University of Exeter Faculties and all four campuses
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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healthy life. Similarities in the structural and molecular organization of the division apparatus in a variety of model systems give the impression that the mechanisms underlying division are shared between