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areas: GIS software; spatial analysis and visualization; programming in R, Python, or similar; epidemiology; etiology; data communication; systems evaluation; quantitative data collection and analysis
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completed project drawings, and providing information to various University stakeholders. This role will also provide support by preparing reports on data associated with Geographic Information Systems (GIS
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Time) Posting Number req25031 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The University
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requires, in accordance with regulations, that your arrival be authorized by the competent authority of the Ministry of Higher Education, Research and Innovation (MESR). Where to apply Website https
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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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programming and data analysis tools (e.g., SQL, Python, R, GIS platforms); experience with the management and analysis of human subject data (e.g., from questionnaires, interviews, behavioural experiments, eye
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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public events. Independent work as well as collaboration with other members of the project team. Content of the research activity: Spatial analysis in GIS (e.g., in QGIS or Python) aimed at analysing
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-Doctoral Researchers: A Bachelor’s or Master's degree and a Doctoral degree from a recognized university in related fields (e.g Geographical Information Systems (GIS), Geoinformatics, or Spatial Planning
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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