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regression analysis to advanced multilevel models and Bayesian analysis to machine learning, among many others. Our two General Sessions , comprising more than forty classes, are offered in a dual-mode format
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
. Continiously updated training set potentially improves the generalization quality of the model. More importantly, the update of the training set and creation of new data can be adaptive, driven by the observed
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migration Developing appropriate statistical algorithms for updating model parameters estimates Working with database manager to organize the fish data and environmental covariates Analyzing data and
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Appl Deadline: none (posted 2025/10/30, updated 2025/10/24) Position Description: Apply Position Description Professor of Practice in Transportation Engineering The School of Civil and Environmental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of Biostatistics. Specifically, the position works on and provides oversight to several federal and industry research and training grants in the areas of casual inference, Bayesian methods, robust methods, frailty
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at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The faculty of the Department of Statistics at the University of South Carolina, Columbia
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92834, United States of America [map ] Subject Area: Statistics Appl Deadline: 2025/10/05 11:59PM (posted 2025/07/25, updated 2025/06/20, listed until 2025/12/20) Position Description: Apply
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, China [map ] Subject Areas: Network/Dynamical Systems and Statistics Appl Deadline: 2025/12/31 11:59PM (posted 2025/01/01, updated 2025/01/20) Position Description: Apply Today is the last day you can
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Bastian, C. C. (2018). Working memory updating and binding training: Bayesian evidence supporting the absence of transfer. Journal of Experimental Psychology: General, 147(6), 829-858. https://doi.org