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well as interactions between social (socioeconomic and sociocultural systems) and natural environment, also via applying GIS. The graduate is capable to design mutually interconnected set of measures to support regional
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: geospatial analysis / GIS; remote sensing or street-level imagery; environmental exposure assessment; epidemiology or health data analysis•Good written and oral communication skills in English•Ability to work
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, VEGA, Horizon, Interreg, etc. is a significant advantage) Active knowledge of English language IT knowledge working with GIS (QGIS, ArcGIS, or equivalent), experience with analytical or programming tools
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, experience of remote sensing/GIS and modelling is meriting. We are looking for candidates with creativity, power of initiative, independence and good collaboration skills. The assessments will be based
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
or equivalent Skills/Qualifications Admission Requirements: Applicants must hold a Master’s degree (validated or certified in Portugal) in a relevant field such as Civil Engineering, Environmental Sciences, GIS
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, generating evidence to support long-term climate adaptation and investment planning. Students will build a comprehensive set of high-value technical and professional skills, including: • Geospatial and GIS
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environments, good ability to write and speak in English, driver’s license for cars, experience of remote sensing/GIS and modelling is meriting. We are looking for candidates with creativity, power of initiative
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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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on landscape archaeology using Geographic Information Systems (GIS) and network analysis MAIN JOB CONTENT Framework Performance of auxiliary/partial research and development work according to the instructions
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets