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from patient tissue samples and mouse models. As part of the role you will write and maintain bioinformatics and AI / ML data analysis pipelines for single-cell and spatial multi-omics data and perform
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We are looking to fill a post for Postdoctoral Research Associate in ancestral recombination graph (ARG) inference and analysis. The aim is to advance state-of-the-art genealogy-based statistical
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/computational neuroscientist with a strong mathematical and computational background. Candidates with an interest in understanding the overlap and differences between natural and artificial intelligence
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Analyse and interpret time series of environmental monitoring data, and physical/ chemical parameters from tree rings Apply and further develop signal-processing and data-analysis methods Identify
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Location: 24-29 St Giles, Oxford, OX1 3LB We are looking to fill a post for Postdoctoral Research Associate in ancestral recombination graph (ARG) inference and analysis. The aim is to advance state
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Physics (Astrophysics), University of Oxford and Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo. Applications are invited for a Postdoctoral Research Assistant
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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mathematics, physics). For Postdoc applicants: Excellent track record in engineering or computer science. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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for biological data analysis Work with large-scale datasets such as: Genomics / transcriptomics (bulk, single-cell, spatial) Epigenomics, proteomics, or multi-omics data Design data preprocessing, feature
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gravitational waves. This is a joint position between the University of Oxford and Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo, structured such that the first 18 months