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that will be applied are interviews, GIS spatial analysis techniques and fieldwork/analysis in Uppsala. Your profile We are looking for a candidate with a PhD in landscape architecture or related discipline
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a significant amount of fieldwork in relatively inaccessible locations. Analysis of collected and existing data will be carried out using statistical and dynamic models, GIS, and computational tools
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, mathematical population ecology models, and multivariate analysis expert knowledge of GIS and experience with using remote sensing products quantitative ecology training that complements and enriches the RivEM’s
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. You will develop a national open data set of traffic and pedestrian flows based on mobile phone GPS location data. In addition to research, you will contribute to GIS education at both the undergraduate
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. Qualifications Master’s degree in environmental science, GIS, remote sensing, or equivalent competence. Minimum two years' experience developing machine learning models. Experience analyzing large volumes
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degree(s) or documented experience in any discipline in computational science; - Technical skills in setting up and maintaining SQL databases and Geographical Information Systems (GIS); - Documented
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, for example linked to engineering approaches, GIS, complex systems, supply chain management. Knowledge and experience in modelling and simulation of critical infrastructure and experience in relevant
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. We will combine field measurements with remote sensing and GIS techniques to better estimate the sensitivity of water levels to climate throughout northern Fennoscandia. The results from this project
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field measurements with remote sensing and GIS techniques to better estimate the sensitivity of water levels to climate throughout northern Fennoscandia. The results from this project are intended
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genre, which can be proved by scientific work written in English (e.g. a MSc thesis or any other published or informal materials). Technical skills should include Geographical Information Systems (GIS