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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
, with the ability to work independently, manage multiple research activities, and learn emerging tools, methods, and standards. Preferred Qualifications: Experience with cartography, GIS, or geospatial
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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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to interdisciplinary discussions Office, GIS (Arc/Q), R, Python (basics) English, Spanish (Italian, German, Dutch, Polish beneficial) Strong experience with spatial assessments. Early leadership experiences at junior
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, GIS, remote sensing products, and analysis methods. • Proven ability to conduct independent research and work effectively within interdisciplinary teams. • Proficiency in English and French, both
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. • Familiarity with geospatial data, GIS, remote sensing products, and analysis methods. • Proven ability to conduct independent research and work effectively within interdisciplinary teams. • Proficiency in
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techniques and quantitative models. Familiarity with GIS is advantageous. Ability to write up research for high profile publications (e.g. journals, monographs, books) and competency in presenting work
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and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models
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French and/or Arabic is highly desirable. Desirable Skills and Assets Familiarity with Moroccan or North African urban contexts. GIS or mapping skills are a plus. Experience in community-engaged research
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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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relations, and environmental justice. Position Overview: The successful candidate will contribute to an innovative study that integrates GIS mapping, data analytics, policy analysis, and community-based