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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values . Why Work
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enthusiastic candidates for a tenure track appointment at the rank of Assistant (UD) Professor in Remote Sensing of the land surface, with a strong interest in the integration of geospatial Artificial
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models
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Preferred Qualifications: Experience working with Medicare data or other large administrative data sets Experience designing and implementing randomized controlled trials in the field Geospatial skills
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applied remote sensing and geospatial modelling can inform agricultural water resources planning for flood and drought risk management, and (iv) what tools can support better water resources planning
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, physical projects; including planning and designing public space and creating more sustainable landscapes. Experience with quantitative and qualitative analyses and the integration of geospatial analyses
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neuroimaging (multi-modal MRI), multi-omics (e.g., genomics and metabolomics), and geospatial mapping of area-level environment. To facilitate the neurobiological interpretation of MRI-based metrics, we employ
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skills and ability to work in interdisciplinary teams. Desirable B1 Knowledge of geospatial data structures and visualisation tools. B2 Skills in user-centred design, including working with collaborative
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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness