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Field
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biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis) are meritorious, as are skills in Swedish. About us The position is
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google Earth Engine
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-information Science in BSc and MSc courses offered by the GRS chair group. Guide students through practical exercises that apply GIS concepts using various open- and closed-source software solutions. Introduce students
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maximum of six hours per week. About you You will have a PhD (or near completion) in a relevant discipline (e.g. geography, GIS, data science, public health, or a related field) or equivalent research
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. Experience with software programs such as MARK and DISTANCE. Experience managing large databases. Experience in Geographic Information Systems (GIS) Department/Program & College Description: The Department
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. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Proficiency in at least one of the following programming languages: R or Python. Other Requirements or Other Factors: May travel to sites for field
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
for publication, including GIS. Additional Experience: Strong written and verbal communication skills. Proven ability to meet deadlines. Ability to effectively survey and read relevant scientific literature, and
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to modulate physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic
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; archival, ethnographic, and participatory research; GIS and social network mapping; policy input; socio-economic modelling and analysis; and synthesising quantitative and qualitative data. Achievement