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Python's data science and geospatial capabilities will be assessed favorably. Applicants should have a strong record of scholarly achievement, including peer-reviewed publications, and the demonstrated
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and work with open and geospatial (GIS) data. Experience of hygrothermal / indoor-climate and moisture-risk assessment in buildings. A documented record of scientific publications. Ability to work in
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Summary Professor M. Emin Kutay’s research group in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University is seeking a motivated postdoctoral
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, geospatial data, and machine learning methods. No candidate is expected to have proficiency in all of these computer-based skills. Rather, the ideal candidate will be a well-rounded individual with a high
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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Experience using geospatial databases and analyses Expertise in fire ecology Required Application Materials: A statement of research describing research accomplishments, areas of interest, career goals, and
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Strong computational and statistical analysis background Experience integrating remote sensing products (e.g., NDVI, EVI, land surface temperature) with environmental datasets Experience with geospatial
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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modelling, geospatial data science, generative modelling, mobility data analysis, or transport simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban
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emphasis on Morocco, Africa, and semi-arid to arid regions. The postdoctoral researcher will contribute to cutting-edge research at the intersection of Earth Observation, geospatial analytics, artificial