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potential environmental contamination from naturally occurring and legacy human activity (such as mining), (2) the analysis of large datasets using machine learning and related frameworks, (3) systematic
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Golubev’s group provides an outstanding opportunity for a dedicated and responsible individual to learn, develop, and contribute to maintaining and improving computational methodologies aimed to unravel
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skills in natural language processing, dynamic systems modelling, machine learning, and data science of “big data” are also strengths for the datasets with which the postdoctoral fellow will be working
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on topics including molecular clouds and star formation. Candidates with experience in machine-learning and magnetic field observation/simulation are particularly welcome to apply. Experiences with (sub-)mm
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Department Sch Geography, Dev & Environ Department Website Link Location Main Campus Address Tucson, AZ USA Position Highlights We seek a post-doctoral researcher to support machine learning for flood
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currently accepting postdoctoral scholars include: Dr. Elise Erickson. Applicants are encouraged to visit the faculty interests and expertise page to learn more about individual faculty research programs