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issues, develop ML approaches to analyze water quantity/quality data, and assess spatiotemporal variability in various resource datasets. Responsibilities Conducting research using large databases
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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 General Notes This position will support activities for both STARR and CISR. The candidate will provide support with geological characterization of outcrops and subsurface data to tackle
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Fieldwork as necessary Required Materials Resume/CV 3 work references with their contact information Letter of interest Qualifications Required Qualifications The ideal candidate must have: Ph.D. in earth
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-reviewed publications, and 6. Names and contact information of three references who can provide a letter upon request. For full consideration, applications should be submitted by January 15, 2024