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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an
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course is designed for students who have already completed an introductory statistics course and are ready to apply foundational statistical concepts to practical problems in human resource management and
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Atlantic Association for Research in the Mathematical Sciences | Saint John East, New Brunswick | Canada | 1 day ago
Position Description DEPARTMENT OF MATHEMATICS & STATISTICS ASSISTANT PROFESSOR IN STATISTICAL DATA SCIENCE The Department of Mathematics and Statistics at the University of New Brunswick Saint John
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the laboratory of Professor Adil Harroud, the Research Associate will lead the statistical genetics and bioinformatics analyses of large-scale genetic, proteomic and clinical datasets in multiple sclerosis and
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– Statistical Mechanics Course Description: Ensemble theory in statistical mechanics. Applications, including imperfect gases and liquid theories. Introduction to non-equilibrium problems.Estimated Enrolment: 20
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 2 months ago
2026), veuillez consulter : https://uottawa.wd3.myworkdayjobs.com/fr-CA/uOttawa_External_Career_Site/job/Ottawa-ON/Senior-Specialist--Statistics-Laboratory_JR37841-1
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: Department of Surgery, Division of Surgical and Interventional Sciences Course Title: Statistics for Surgical Research Course Code: EXSU 606 Estimated Number of Positions: 1 Total Hours of Work per Term: 60
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from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications: PhD in Biostatistics, Statistics, or a related field. Advanced comprehension
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experimental datasets using computational, statistical, and/or AI/ML methods to extract insights into material performance, stability, and process-structure-property relationships. Adapt and improve experimental