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, postdoctoral scholars, and students. Candidates must hold a Ph.D. or be near completion of this degree. We particularly welcome applications from candidates from nontraditional research backgrounds and from
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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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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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