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one programing language (e.g., R, STATA). · Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods. Understanding
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and artificial intelligence for advanced modeling and analysis
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research-practice partnership would be very advantageous, as would familiarity with the design and maintenance of databases. Familiarity with continuous improvement/improvement science models would be very