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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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. Knowledge in statistical modeling, data science, exploratory analysis, and natural language processing applied to legal texts and empirical legal studies is highly desirable. Candidates must have excellent
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projects ranging from machine learning applied to spatiotemporal data for weather nowcasting and forecasting, Earth System Modeling, statistical downscaling, data quality, and anomaly detection
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femtosecond pump–probe methods, wide-field imaging, and advanced statistical and computational analysis to elucidate structure–function relationships in biological systems. Candidates are expected to have
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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multi-level datasets and contributing to statistical analyses. The researcher may also contribute to manuscript preparation and help develop new studies that extend the lab’s mission of using data science
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limited to) population dynamics, hydrodynamics, elastic structures, active matter, and nonequilibrium statistical physics. Applicants should arrange for letters of recommendation from at least three
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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science. Faculty represent a range of disciplines including but not limited to organizational behavior, economics, information systems, machine learning, operations research, and statistics. A collection of
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Qualifications Minimum Education and Experience Ph.D. in Neuroscience, Cognitive Neuroscience, Neurobiology, or related field. Rigorous training and experience in statistics, data analysis, and human experimental