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Field
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of foundation or multimodal models into geospatial production workflows Minimum Qualifications: • Ph.D. in Geomatics, Spatial Computing, Computer Science, or a closely related field • Demonstrated expertise in 3D
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transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data (e.g
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analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records. Assist faculty and graduate researchers with statistical modeling
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with degree conferred by the time of appointment. Candidates must demonstrate experience with GIS or other geospatial technologies, show potential for excellence in undergraduate teaching, and
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with degree conferred by the time of appointment. Candidates must demonstrate experience with GIS or other geospatial technologies, show potential for excellence in undergraduate teaching, and
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with degree conferred by the time of appointment. Candidates must demonstrate experience with GIS or other geospatial technologies, show potential for excellence in undergraduate teaching, and
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such as multiple and partial correlation coefficients, linear and logistic regression, multilevel modeling, causal analyses, spatial analyses, and determines sampling and reporting procedures. Analyzes
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postdoctoral appointment in Remote Sensing of the land surface, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to
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field. Perform advanced compliance modeling to ensure unintended environmental impacts are not occurring within an enrolled field, including soil erosion modeling (RUSLE, WEPS) and nutrient losses (INTRA
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hepatitis, health systems and services research, engaging with stakeholders, geospatial modelling, and multilevel modelling Experience preparing research reports, grant applications, and presentations