28 professor-computer-"https:"-"https:"-"https:"-"https:" research jobs at University of Texas at Austin
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Job Posting Title: Computational Postdoctoral Fellow For AI-driven Seismic Imaging ---- Hiring Department: Bureau of Economic Geology ---- Position Open To: All Applicants ---- Weekly Scheduled
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Job Posting Title: Postdoctoral Fellow, PhARM Program, College of Pharmacy ---- Hiring Department: College of Pharmacy ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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Description The Department of Mathematics at the University of Texas at Austin invites applications for a STEM Education Postdoctoral Fellowship supervised by Professor James Álvarez in the research
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Postdoctoral Research Fellow to start in Fall 2026 to work with Associate Professor Peter Bergman. The Fellow will contribute to a research program focused on AI applications for economic mobility, such as
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Description The Department of Mathematics at the University of Texas at Austin invites applications for a Simon’s Postdoctoral Fellowship supervised by Professor Lisa Piccirillo in the research area
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postdoctoral researcher position in cognitive and behavioral data science. Dr. Nicholas Duran, Associate Professor of Psychology at UT Austin and Principal Investigator, is seeking a postdoctoral researcher to
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Description The Department of Mathematics at the University of Texas at Austin invites applications for a postdoctoral fellowship supervised by Assistant Professor Maggie Miller in the research area
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the Nuclear and Radiation Engineering Program to advance research in nuclear reactor multiphysics, digital twin methods, and uncertainty quantification for high-performance computing platforms using VERA, MOOSE