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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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for electric propulsion. The thesis will develop new reduced model of equations that will capture the main modes that are observed in these plasmas and will be implemented in a numerical code. In addition
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significantly to the dose delivered to biological tissues. Monte Carlo simulations, especially those based on the Geant4 toolkit, rely on hadronic models whose predictive accuracy is still limited by
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, modifying, and certification of the eCRF creation process related to clinical research to ensure quality data collection. Applies basic statistical methods, simulation models, and skilled statistical
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to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
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Lexington, KY Grade Level 06 Salary Range $16.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu
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Level 06 Salary Range $16.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment
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meaningful explanations when unexpected situations arise. We plan to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and
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activity will be the follow: 1. Development of linear and nonlinear dynamic models of origami-based unit cells incorporating multiple resonators, 2. Implementation of computational models and numerical