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Postdoctoral Research Associate in Health Economics Department of Finance Gies College of Business Postdoctoral Research Associate Health Care Research Initiative Seeking a full-time postdoctoral
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-solving abilities. Strong written and oral communication skills in both English and French. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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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
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | about 1 month ago
Expertise in Geographic Information Science (GIS), including proficiency with ArcGIS Pro General knowledge of urban geography Strong interest in the interactions between climate change and human health in
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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/business/benefits
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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS