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Term) Job Description Here’s a Glimpse of the Job The Research Technician will assist with data analysis and numerical modeling of air pollution using satellite observations. Opportunities to Contribute
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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to ecological or biological questions. Demonstrated experience developing and applying species distribution models, ecological niche models, or related spatial/statistical models. Experience working with large
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policy. What You’ll Do 1) Quantitative & Spatial Analysis - Analyse community health and urban interventions using quantitative and statistical methods such as hierarchical level modelling, structural
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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with the aims of the funded project. Job Duties Use R and Geographic Information System (GIS) software to generate geospatial predictor datasets for air pollution models. Use high-performance computing
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spatial analyses, photogrammetry and 3D modelling of archaeological data. Archaeological GIS & Spatial Analysis (Geographic Information Systems applied to archaeology) Photogrammetry (3D reconstruction from
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groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human Geography and Spatial Planning
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer