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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office
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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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), Center for Innovation through Visualization and Simulation (CIVS) is seeking to fill a 3-years limited duration position. Continuation is dependent upon funding and business need. Benefits to apply. CIVS
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including
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management, and implementation/coaching supports. Methods expertise in one or more of the following areas: survey data analysis; data visualization; research-practice partnerships; conducting applied research
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the development of reports, graphs, charts, and other visuals required. Proficiency in Word, Excel, and PowerPoint required. Preferred Qualifications: Focus on environmental epidemiology and cancer research
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for visualization and presentation of methodology, results, and demonstrations. Preferred Qualifications: Experience and demonstrated ability to use Microsoft Excel and programming skills in C, C++, Python, or Matlab
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., crowd sourced data or from mobile and distributed instrument networks) Assess the performance of next-generation predictive urban climate models using observations Develop new visualization strategies
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NSF, FEMA, DHS, and other local agencies. They will lead research activities involving harnessing and synthesizing the latest developments in artificial intelligence, remote sensing, and simulation and
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), with demonstrated experience in handling complex geochemical databases, data visualization, and statistical analysis. Her/His research background should include field experience in groundwater/surface