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-physiology-pharmacology/changiz-taghibiglou.php ) at the University of Saskatchewan (USask) in collaboration with Clinical Colleagues: Dr. Andrew Kirk (Div. Neurology, U of S), Dr. Ravi Nrusimhadevara (Dept
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Previous Job Job Title Post-Doctoral Associate in Statistical Genetics/Omics Next Job Apply for Job Job ID 369329 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 7 hours ago
well as bioinformatic and statistical analysis is considered an asset. Demonstrated research excellence with first-author publications in peer-reviewed international journals. Strong communication skills, fluent in
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of Health R01 DC017114. The goals of this grant are to understand the time course of listening effort, especially as it relates to listening with a cochlear implant. The PA is expected to focus on statistical
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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classes in the graduate and undergraduate curricula and/or similar classes, either in an in-person or online modality: ● Quantitative and Psychometric Methods ● Multivariate Statistics ● Measurement
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organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical