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Field
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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to equipment maintenance, particularly for metabolomic analysis of biological systems (tissues, cells, biofluids). Prior experience with advanced multivariate statistical analysis methodologies and the use
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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(i.e., scheduling, record-keeping, etc.) and interacting with human subjects Manage data analysis, brain imaging, multivariate image analysis Help manage undergraduate research assistants Other duties as
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and metagenomic data. compile, manage, and analyze datasets with appropriate statistical methods including univariate and multivariate methods. lead preparation and publication of peer-reviewed
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working
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analysis of non-invasive brain stimulation data. Proficiency in statistical analyses of multivariate data sets. About the Department To learn more about the Department of Neurology, please visit https
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shear testing, and/or mastication simulators, with the ability to interpret breakdown and lubrication behaviour in a mechanistic context. Competence in multivariate statistical analysis, particularly PCA
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Role Summary We are seeking a motivated postdoctoral researcher to join the Motivation and Social Neuroscience lab (https://www.msn-lab.com) led by Prof. Matthew Apps. The lab studies the cognitive
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. These complementary datasets will be integrated using multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and to reveal the interactions linking microbiome