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statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the lab please visit https://martilab.com/ . Trains
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including 'big data' statistical methods, machine learning, and artificial
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that offers a great opportunity for performing highly interdisciplinary and cutting-edge research; career development through one-on-one mentorship; membership in a large scientific community; and a
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are enrolled in Spanish classes. Over the course of the study we will collect personal social network data, several language measures through written and oral tasks, and measures of cognitive aptitude. The goal
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). Remedies and complaint filing deadlines vary by program or incident. Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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equipment · Data entry, managements, and summarization · Perform bioinformatic analysis using programming skills in computational biology. · Assist researchers with statistically valid data analysis and