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Field
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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. This is an entry level position for a candidate who has recently completed a PhD in transportation engineering or planning, air pollution modeling, health impact and risk assessment of air pollution and/or
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
and graduate students Minimum Acceptable Education & Experience: PhD degree in Civil Engineering, Geography, or related fields Required Knowledge, Skills & Abilities: Proficient in geospatial data
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Job Summary Are you passionate about applying cutting-edge GIS Mapping and Water Quality modeling techniques to address critical environmental challenges? Join us in an exciting initiative aimed
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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, working groups Qualifications Required Qualifications: ● PhD in water resources, hydrology, aquatic ecology, limnology, wetland ecology or a related field ● Experience with synthesis and analysis of large
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of the Arctic Geology Department . Qualifications Required Qualifications A PhD in Geology, Earth Science, Geophysics or a related field that involved numerical modelling of glacial or permafrost mechanics and/or
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Middle Eastern cities. Key Responsibilities PhD in Architecture, Urban Studies, Geography, Anthropology, History, or a related discipline. Proven research record in urban heritage, spatial justice
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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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 and