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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements
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combustion sub-models as well as further research and develop boundary conditions and numerical approaches applicable to detonative processes. With this educational opportunity, we plan for the postdoctoral
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related field is required, along with a solid understanding of Geophysical Fluid Dynamics. ABD will be considered in a related field. Preferred Qualifications: Experience in numerical ocean modeling is
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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-Young Yi’s research group at UTEP, contributing to the development of numerical models for enhanced geothermal systems and geologic carbon storage. The successful candidate will also work closely with
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research
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rodent models (mice and rats), as well as related experimental procedures. The work primarily involves animal behavior research to determine drug dosing and side-effect profiles. Prior experience in pain
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work with colleagues from Virginia Tech and other collaborating universities to run, analyze, and model human evacuation experiments. Data will include motion capture and psychophysiology data to explore