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a strong background in gyro-fluid modelling of turbulent plasmas, the numerical methods used to discretise such models, as well as the technical skills to implement these algorithms on high
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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Job Description We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular
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and what they mean for the system’s efficiency and safety. You will develop models of AI bidding strategies, analyze strategic interactions using game theory, and design optimization methods to identify
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on climate breeding goal includes calculating weights on traits related to climate impact and estimating their impact on genetic gain, whereas the work on climate index involves phenotype definition
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Aarhus University, Denmark - an international top-100 university - has made an ambitious strategic investment in a recruitment plan to radically expand the Department of Electrical and Computer