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the world. UT Austin, recognized by Forbes as one of America’s Best Large Employers , provides outstanding employee benefits and total rewards packages that include: Competitive health benefits (employee
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a focus on data analytics, AI, ML, advanced process control, and digital twin technologies in semiconductor manufacturing. Experience with handling industrial big data problems, physics-informed AI/ML
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Research Assistant III to work on several large research studies of traumatic brain injury at Dell Seton Medical Center and the PsyBrain Laboratory in the Department of Psychology on the UT Austin campus
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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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of sedimentology, geochemistry, and microbiology, and general use of destructive, extraction-based methods that are designed for the analysis of large sediment samples. These bulk methods are quantitative but
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spirit. UT Austin, recognized by Forbes as one of America’s Best Large Employers , provides outstanding employee benefits and total rewards packages that include: Competitive health benefits (employee
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data. Present results to the scientific community and broader public. Publish results in peer-reviewed journals. Required Qualifications Ph.D. in Geophysics, Physics, Earth Sciences, Applied Mathematics