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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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data on language range reduction of isolates worldwide from extant literature • Digitizing and curating the data, aided by a GIS developer • Carrying out comparative research on the linguistic changes
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
indicator. This will be carried out through 1) Developing and validating indicators for the naturalness of hydrology and nutrient status from GIS layers and field assessments; 2) Developing and validating a
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Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However
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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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quality) and be supported by their expertise in industrial deployment of cutting-edge, FDA-approved AI tools for medical video analysis (e.g., their polyp detection system GI Genius™, named
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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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the operation of drinking water distribution systems. The research will integrate water quality data with aspects including hydraulics and GIS records from an operational network leading to the development and
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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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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