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Field
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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
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to collaborate with industry (biotech/pharma) and to get involved in academic start-up/spin-off companies. Training program in project management, scientific writing, visual communication, entrepreneurship
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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. • Preference may be given to applicants with experience with biological materials such as fungi, including culturing methods. • Basic experience with software such as MatLab, Python, or R for data visualization