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Field
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PhD position on Online Public Participation GIS (PPGIS) as a tool for university-city collaborations
staff position within a Research Infrastructure? No Offer Description The PhD project will investigate how the online public participation GIS (PPGIS) methodology can be utilized to analyze how citizen
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methodological background in (field-)soil science and geomorphology, as well as in geographic computation (R / C / GIS); Very good English skills. Willingness to teach in the Bachelor- and Master programs in
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evaluations · Providing IT support for employees of the institute Your profile: · Completed Master’s degree with specialisation in GIS/Cartography · Previous academic experience and/or
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letter; e) Knowledge of quantitative (including modelling) and qualitative research methodologies, remote sensing and GIS techniques and long-term ecological data analysis - information provided in the CV
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to SF6 in new high voltage equipment, such as gas insulated switchgear (GIS) and Gas insulated lines (GIL). Manufacturers are developing new alternatives to SF6. However, as SF6 has many advantages which
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local cultural organizations and governmental data repositories • synthesize existing metadata on known archaeological sites in the Foxe Basin region, and model these data using GIS; and • carry out
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local cultural organizations and governmental data repositories • synthesize existing metadata on known archaeological sites in the Foxe Basin region, and model these data using GIS; and • carry out
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niche models; 5) Implementation of a GIS web application and a package for R, 6) Workshop + Course. - Coordinate Task 5 of the MontObEO project: Implementation of a GIS web application and a package for R
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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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, including spatial analysis and modelling. You will work on an innovative project entitled "IntelliGeo: Laying the Groundwork for Integrating Large Language Models into GIS." This project aims to improve