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language processing, GIS, and big data analytics. The Department of Economics seeks a Research Assistant to contribute to three specialized research projects: Key Responsibilities Evaluating the effects of China's
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of Enterprise GIS systems and ESRI Online. Experience working with vector-based data for civil infrastructure and asset management including utilities. Experience automating processes using Python, Model Builder
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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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Python—import from model, statistical processing, and representation. Scholarship 3 – 3D and VR visualization ● Basic and intermediate skills in: ArcGIS, QGIS, Saga GIS, Philcarto, PhilDigit, ArcGIS Pro
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environmental health and safety procedures; assisting with data analysis in Insight, Excel and Python; preparing maps in ArcGIS and performing GIS analyses on the collected data; assisting researchers with
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Job Description This position will assist the Furst Lab at the Occoquan Watershed Monitoring Lab (OWML) in GIS modeling, laboratory, field work related to a research project on water contamination
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
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degree or equivalent experience in ecology, biology, environmental data science, or related field. Demonstrated experience with quantitative methods, coding (R, Python), or GIS. Familiarity with ecological