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, mobility patterns, and reporting delays. The project can include development of software to implement methods, as well as further development of methodology, primarily in a Bayesian framework. There is also
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simulations of reactor core, and other system components Develop reduced-order calibration approaches and apply machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model
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Arctic locations- Knowledge of spatial analysis and Bayesian statistics - Previous experience conducting fieldwork in northern ecosystems - Experience working with drone imagery and drone piloting Offer
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rate standardization, stock assessment models, and statistical modeling in both frequentist and Bayesian frameworks • A solid track record of publications Salary Information Commensuate with experience
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experience in developing models to analyze temporal data. Prior experience in utilizing Bayesian modeling in related applications. Required Application Materials: CV Contact information for reference letters
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across the value chain. Using Bayesian Optimization / Modern Design of Experiment, we build the data-foundation to enable true hybrid development between humans and advanced learning algorithms such as
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the surrogate forward models with a Bayesian inverse modeling framework to achieve real-time or near-real-time uncertainty quantification, such that we can efficiently resolve the uncertainties rising from rock
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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Expertise in quantitative modeling, computational and/or Bayesian methods Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia. Expertise