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, neuroscience, or a related field is required. Cognitive neuroscience expertise and a track record of academic publications are required, and expertise in advanced statistical methods involving HLM is highly
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., MATLAB, Python, R) preferred. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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, combining the best of two academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics we conduct research in computational mathematics, optimisation, biomathematics
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Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
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complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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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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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities