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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
the duration of the initial contract. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros
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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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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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: 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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, 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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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
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-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS) • Competences in quantitative research methods – ideally knowledge of several of the following