276 software-formal-method-phd positions at The University of Arizona in United States
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application of AI/ML methods to grand challenge societal problems. This position provides the opportunity to work in a vibrant, interdisciplinary, and collaborative environment alongside experts from across
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tracking and EEG methods, cross-disciplinary collaboration, and opportunities for mentorship, authorship, and grant development. Our main focus is in how people search withing the visual world, and in
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data using various software (R-statistics, GraphPad, Excel, ImageJ, Image Lab). Supervise and mentor undergraduate students. Prepare and submit peer-reviewed journal articles. Present results
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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
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well as undergraduate minors in Geography, Urban and Regional Development, Geographic Information Science, and Environmental Studies. The School also offers graduate degrees in Geography, both MA and PhD, and a
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reviewers and the Admissions Committee. Manage the MD/PhD review process in close coordination with the Graduate Training Office Coordinator to ensure timely review of all candidates for the MD/PhD program
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software. Knowledge of subsurface imaging, mapping, and 3-D visualization. Ability to communicate complex scientific findings effectively to interdisciplinary teams. Minimum Qualifications Bachelor's degree
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. Knowledge of upstream, downstream, and centerline construction methods, and associated risks and regulatory frameworks. Proficiency in spatio-temporal modeling and geotechnical software (e.g., FLAC, GeoStudio
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research, prepare bibliographies as required. Compile data and generate computerized statistical data for analytical purposes using software packages and AI, make preliminary analyses and assist in
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. upon hire. Preferred Qualifications PhD in a physical science or engineering field. Experience in high-contrast imaging data reduction. Experience in exoplanet and/or debris disk science. Experience