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Field
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. Perferred qualifications include PADI instructor-level certification, formal training in monitoring protocols, data-platform or GIS experience, and familiarity with applied science frameworks such as the
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Help driving forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a main role in developing digital tools and methodologies
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
communication skills Ability to work in a team setting and be self-motivated Other Requirements: Established publication record in peer reviewed journals Preferred Qualifications: Experience with GIS, UAV data and
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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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at an academic level in English are required. Experience in modeling biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis
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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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, 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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. 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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-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