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) is desired. Experience with MATLAB, C/C++, and/or Python is preferred. The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer
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., HRS, GFS) in R, Stata, or Python Conduct descriptive, inferential, and multivariate statistical analyses according to project aims Create and document reproducible analysis pipelines Manage code
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Information Systems, Introduction to GIS Science, GIS for Natural Resources Managers, Introduction to Remote Sensing, and Forest Surveying. Depending on the candidate’s background and future program needs
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evaluation, project management, and GIS data processing using QGIS and R. Additional tasks involve writing project metadata, developing R code and R Shiny applications, and conducting statistical analyses
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automate network configurations using Python and Ansible. Collaborate with security teams to ensure compliance and performance. Monitor and respond to system alerts, outages, and performance issues. Assist
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datasets to support analytics objectives Visualize, interpret, and report data findings in dynamic data reports Required skills/experience areas include: Computer programing languages, such as Python or C/C
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based on education and specific experience with imagery and elevation data in GIS applications. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background
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working in adverse conditions. Duties could also include detailed data analysis, data entry, and GIS analyses. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion
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, Python, C++ Object-oriented software design Vehicle autonomy Object tracking and classification Machine learning Intelligent control and fuzzy logic You working location will be full on-site located in
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Physics, Mathematics, and /or Engineering course work covering basic electromagnetics, vector calculus, and applications Familiarity with some of the following tools: Matlab; Python; and XFdtd/CST ARL