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Field
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inferences from observational datasets ● Familiarity with urban ecology, aquatic plant ecology or watershed biogeochemical processes ● Proficiency with GIS About the Department Ecology, Evolution, and
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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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dynamics. Geo-spatial data handling skills (GIS, scripting, working on NetCDF files etc). Use of Linux machines and compilers, basic scripting in bash and python. Pre- (e.g. mesh generation) and post
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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents
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; proficiency in French and/or Arabic is highly desirable. Desirable Skills and Assets Familiarity with Moroccan or North African urban contexts. GIS or mapping skills are a plus. Experience in community-engaged
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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preferred. Experience in custom coding, advanced statistical modeling, GIS will be preferred. Outstanding candidates with expertise in related areas will also be considered. Primary Responsibilities
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physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic and
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Computer Science. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, netCDF) and spatial databases. Knowledge of GIS software including both Desktop and Server. Familiarity with middleware and API