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Field
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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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optimistic and conservative trajectories of the energy transition. Sensitivity analysis to quantify the influence of key uncertain parameters on total cost of ownership (TCO), GHG emissions, and strategic
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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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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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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
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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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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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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
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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epidemiology to understand RNA metabolism. Perform stochastic simulations to analyze model behaviors. Fit the model parameters to empirical RNA expression and RNA-protein binding data. Predict outcomes