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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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physics, condensed matter, and quantum systems. The lab is internationally renowned for its experimental and theoretical work on complex systems, particularly in the areas of geophysical fluid dynamics
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Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in
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the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations
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) of the following areas: Dynamic analysis of offshore wind turbines under complex environmental loading. Fluid–structure interaction phenomena in offshore wind systems, including instabilities, resonance mechanisms
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Science and Informatics (Numerical Analysis; simulation, optimisation and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics
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of Sheffield. You should have a PhD in astrophysics or geophysics and preferably numerical/theoretical/computational experience in one or more of the following fields: planet formation, star formation, fluid
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to inform and enhance reactive flow simulators, ultimately contributing to a better understanding of the impacts of dissolved CO2 on fluid flow dynamics and rock reactivity at larger scales within
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-position:inside;} The DePaul University School of Music seeks a highly qualified musician and educator at the rank of Assistant or Associate Professor to cultivate and lead a dynamic piano program. Responsibilities
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and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics Princeton