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Field
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are strongly encouraged. Candidates interested in acquiring experience with chemometrics and multivariate statistics are highly desired. Feel free to reach out to learn more about this opportunity. Keywords
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Methods in Linguistics - Fall 2026 Course description: An introduction to experimental design and statistical analysis for linguists. Topics include both univariate and multivariate approaches to data
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publicly available control data *Lead logistic regression and other multivariable regression analyses using appropriate statistical genetic software including R, Plink, and SNiPAR. *Prepare manuscripts in
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for faculty to teach courses in Biostatistics, Categorical Data, Computationally Intensive Methodology, Econometrics, High-Dimensional Statistics, Multivariate Statistics, Statistical Machine Learning
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analyzing surveys using tools such as Qualtrics Excellent skills in quantitative and qualitative analysis, including multivariate statistical methods Experience working with enrollment or student information
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at the crossing of statistics and machine learning. Modern vessels produce vast amounts of multivariate data streams. The project addresses the development of trustworthy statistical and machine learning methods
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: Knowledge of multivariate analysis; Knowledge of the use of ecological monitoring indicators; Knowledge of Geographic Information Systems. LanguagesPORTUGUESELevelExcellent LanguagesENGLISHLevelExcellent
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environment team they will join, as well as those working on the ANR TASAB project. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7330-NOEGAR-074/Default.aspx Requirements Research
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statistical analysis including multivariate methods, data reduction techniques, structural equation modeling, survival analysis and Bayesian hierarchical imaging models, graph neural networks. The specialist