8 parallel-computing-numerical-methods-";" Postdoctoral positions at Arizona State University
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operation in microgravity. Perform numerical modeling analysis to test and refine microfluidic devices and establish suitable data analysis tools. Advise and mentor graduate and undergraduate students on
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observation data and apply AI methods for geospatial big data analysis. Record of peer-reviewed publications in relevant fields. Desired Qualifications: Demonstrated experience with GeoAI methods
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environment, and effectively balance parallel work on several different projects. Working Environment Climate-controlled office setting subject to extended periods of being in a stationary position
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, GIS, or environmental exposure modeling. Demonstrated experience with Bayesian modeling, simulation methods, machine learning, or uncertainty analysis. Demonstrated leadership in research design
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postdoctoral training with a focus on prevention science, addiction, implementation science, digital health, and quantitative methods. Past trainees have gone onto careers at prestigious institutions
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, community/internships, innovation lab, or distance/online. Teaches on multiple ASU campus sites Develops, implements, and evaluates innovative teaching methods. Incorporates scholarly and creative
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supervising the work of others. ● Demonstrated training and experience in advanced quantitative methods and predictive modeling ● Experience managing, cleaning, integrating, and analyzing
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research using qualitative, quantitative, or mixed methods. Ability to develop and maintain productive relationships with community organizations, practitioners, researchers, and other stakeholders