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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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: Technical University of Denmark DC8: Comprehensive water scarcity method development PhD enrolment: University of Iceland DC9: Global, regional, and local information driven by high-resolution GIS data PhD
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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and applied statistics, including use of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological
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focus on conceptual models (WEST, SIMBA, CityDrain, etc). or detailed hydrodynamic models (SWMM, MIKE, Inforworks). Experience in the management of big datasets and the use of GIS tools is recommended
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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