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; Coordinating with the Data Team, Communications Team, and CSET’s web vendor to drive cohesive, visually consistent UI/UX improvements across ETO and CSET websites and digital products; Partnering with
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advanced data analysis utilizing Excel or similar software, developing Tableau dashboards to support decision-making, and applying AIâ‘enhanced analytical tools to improve forecasting, reporting, and
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Technical documentation and communication skills Excel skills including pivot tables, data cleaning, and data visualization Additional Preferred Experience managing LMS integrations and enterprise
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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in data analysis, scientific visualization, and signal processing will be considered an asset. The candidate should demonstrate autonomy, scientific rigor, and teamwork skills. Strong abilities in
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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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amenities enhance the learning experience on a visually appealing campus located in historic Americus, Georgia. Georgia Southwestern State University aspires to be an engaged, progressive, and inclusive
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tools, or data visualization platforms. Knowledge, Skills and Abilities Strategic financial thinking and problem solving. Advanced financial modeling and data analysis. Strong attention to detail and data
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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