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glacial processes, and coupled hydrological processes or earth system modelling of terrestrial carbon cycle processes. As well as experience of large dataset collation and analysis, including geospatial
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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
. Job Overview The Department of Geography and GIS at the University of Cincinnati, Ohio, seeks a fellow in geography, geospatial artificial intelligence (GeoAI), and spatial data science for its Charles
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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. Our team also supports the Geospatial, Epidemiology and Outcomes (GEO) shared resource of the MCW Cancer Center (http://www.mcw.edu/geo ). Characteristics of a postdoctoral appointment: It is expected
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statistical and geospatial software (R, ArcGIS, QGIS) and atmospheric dispersion modeling (AERMOD, WindTrax, CALPUFF) is strongly preferred. Ability to multi-task and work cooperatively with others. Why Work
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, geospatial data), clean and manipulate them into analysis read versions. - Identify new and emerging data science techniques that will enhance project design and analytical rigour. - Planning, conducting and
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: • Experience with geochemical speciation methods, particularly synchrotron X-ray spectroscopy • Knowledge of data management • Experience with statistical analysis of data and geospatial analysis tools (e.g
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use Finland-wide remote sensing resources from one of the consortium members, Finnish Geospatial Research Institute to monitor tree growth in Finland and combine this information with whole genome