27 web-developer-university-of-liverpool Fellowship positions at University of Texas at Austin
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system data into a common spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical
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spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical impact of drought and flood on water
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spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical impact of drought and flood on water
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development and strengthen grant writing skills Participate in mentorship and career development activities Other duties assigned by the PI Required Qualifications Candidates must have received their PhD within
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: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and
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: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and
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faculty at UTMSI funded through the Texas Gulf Coast Research Center (https://marinescience.utexas.edu/research/texas-gulf-coast-research-center) and aims to develop a novel ecosystem model for an estuarine
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to recognize the value of digital twins. Purpose This position will focus on building a research program at the University of Texas at Austin that is focused on the development and application of multiphysics
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-quality academic research while preparing the fellow to develop an independent, grant-fundable line of investigation. Responsibilities Conduct multivariate analyses of fMRI, EMA, and physiological data
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process. Purpose The Meyers Lab and epiENGAGE at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance, forecasting