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through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a team environment
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discipline with strong programming and statistics skills, experience analyzing large datasets (cloud computing/big data workflows preferred), and a track record of completed research projects. Prior experience
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quantitative research through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a
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detailed records of procedures and experiments. Compiles and presents statistical data with appropriate conclusions and recommendations pertinent to the research. Prepares grant proposals at the appropriate
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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Access (OEA) at (631) 632-6280 or visit OEA . In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page
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using statistical modeling approaches to enable further simulation and prediction either within or beyond the study population evaluated. Intensive literature research will be required to understand
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culminating in peer-reviewed publications and presentations. Fellows will benefit from research-practitioner partnerships and mentorship in advanced statistics. The skills gained from this experience will
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collaboration with statistical physicists for data analysis and experimental design. The Associate is expected to generate breakthrough ideas in the assigned area of research, as well as to carry out research in
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, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA . In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed