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community at UTIG and The University of Texas at Austin through the development of a vigorous, internationally recognized, and externally funded research program, and through engagement with colleagues
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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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geothermal resources, reservoir modeling, techno-economic analysis and machine learning implementation, and other emerging geothermal energy-related topics. The selectee will be expected to develop funding and
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