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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in computational data sciences and engineering, applied mathematics, geography, statistics, computer
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statistical analysis and computer programming in any of the following areas are highly valued: structural equation modeling, mixed effects modeling, mediation analysis, spatial modeling, web-based mapping
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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multiple microscopy techniques. The hired postdoctoral researcher will receive compensation based on the current NIH NRSA Kirschstein scale. In accordance with the University of Utah’s policies, he/she will
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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census at multiple locations, cataloguing known natural or man-made aerial objects. We will generate testable, data-driven hypotheses to characterize any novel class discovered during this census, or else
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applies standard techniques of routine and non-standard research, keeping detailed records of data. Uses computers and laboratory or technical equipment to perform data analysis, statistical analysis, and
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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Postdoctoral Associate- Artificial Intelligence Innovation Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and