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, and interprets cancer surveillance, population, geographic, environmental, and health services catchment area data using appropriate data management, statistical, GIS, and other programming software
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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competitions including creating challenges Building integrated dashboards with any of the following tools: SQL Server, PowerBI, Tableau, Python/Machine Learning, AWS, Azure. Security clearance (current or
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, AMOS, SAS (Statistical Analysis Software), Microsoft Excel (advanced modeling), Python, R Qualitative Analysis Tools: NVivo Geographic & Mapping Tools: ArcGIS, QGIS (Quantum GIS), Google Earth Pro
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contribution to human wellbeing (e.g. IPBES and SEEA); Strong quantitative skills and ability to work with large (geospatial) data sets. Experience with GIS software and fluency in Python or R is needed
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designers, GIS specialists, and stakeholders to ensure tools meet user needs. Documentation & Support: Produce technical documentation and provide support for internal and external users. Minimum Requirements
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, Environmental Science, Agronomy, Plant Science, Soil Science, Agricultural Engineering, or related quantitative field. • Demonstrated experience in GIS-based spatial analysis. • Experience with quantitative
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employees can choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu