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variance analysis of human capital activity, including staffing changes and salary modeling; integrate Workday data into budgeting, forecasting, and planning processes. Support monthly reporting
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No. G-2026-79331. Job Responsibilities Data collection and analysis: Conduct background research on clean-energy manufacturing sites and the communities hosting them; assist the research team in
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Job Summary/Basic Function: Provide client support for desktop-based software applications, hardware configurations and system analysis. Provide assistance and solutions for integration between
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enhance systems and cost engineering practices, methodologies and applications across the various disciplines, project phases and organisation as a whole. You are encouraged to visit the ESA website: http
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complicated networks and firewalls Experience developing and maintaining software for scientific data acquisition, analysis, and visualization. Experience with client/server applications and web services
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analysis and processing: NumPy, Pandas, SciPy; - Machine learning/AI: Scikit-learn, TensorFlow, PyTorch (preferred); - Data visualization: Matplotlib, Seaborn, Plotly. LanguagesFRENCHLevelGood
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for co-authorships for a qualified candidate. A successful candidate must have advanced data analysis skills in R and Stata, experience with data visualization in R, and GIS data work in R and/or ArcGIS
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sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
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engage in data-driven, computational, and/or pluridisciplinary approaches to cultural, literary, or visual analysis. Other research areas of interest include cultural analytics, artificial intelligence
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, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https://go.unl.edu