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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star properties
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of methodologies to detect and locate seismic events recorded in DAS data Development and use of tools to estimate source parameters and fault mechanisms from DAS data Integrate and compare detection thresholds
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in the southwest Cordillera. * Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters within
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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assessing the effects of Low Earth Orbiting satellites on LSST data and resulting systematic errors in dark matter and dark energy posterior cosmological parameter estimates. Skills must include database
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dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters
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dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters
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and web interfaces for PK/PD model parameter estimation and simulation in popPK/PD, PBPK-PD, and/or QSP approach; model-informed precision dosing and sampling optimization in pharmacometrics approach