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Field
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quality processes. • River basin management, river restoration, and green infrastructure design. • Geographic Information Systems (GIS), spatial analysis, and environmental mapping. • Programming and use
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experience using Python and related tools. -Manejo de herramientas de visualización, mapeo y análisis espacial (como GIS) para el apoyo a la planificación y toma de decisiones en entornos urbanos
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GIS platforms, including some of QGIS, R, Python, and ArcGIS. Hiring Unit: School of Urban Planning Course Title and Course Number: Geographic Information Systems - URBP 605 Estimated Number
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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analysis, using proprietary and open-source GIS platforms. Advanced courses include GIS Programming (Python & Java) and Web GIS, with attention to rapidly growing technologies such as cloud-based development
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modelling and statistical and GIS software (R, QGIS/ArcGIS, Python). - Excellent scientific writing and communication skills in English and Spanish. Specific Requirements • Doctorado en Programas de
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Research Specialist - Department of Finance Gies College of Business The Department of Finance at Gies College of Business at the University of Illinois at Urbana-Champaign is seeking is seeking a
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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into insights that drive real-world impact. Key Responsibilities: Research & Data Analysis •Conduct advanced quantitative analyses using R, Python, or GIS. •Apply environmental, economic, health, and demographic
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with Microsoft Office Suite and familiarity with statistical and geospatial software such as Python, R, and GIS applications (e.g., ArcGIS, QGIS). Ability to work collaboratively as part of a