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”): Physics-Guided AI for Climate or Earth System Model Downscaling Global climate and earth system models yield massive simulations at low space-time resolutions and are subject to uncertainties resulting from
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the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS) project which is based on an effective collaboration between LEM3, ICA, PIMM and CEA. The PhD candidate
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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- Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person: UAA Police Department Office at Room 114 of Eugene Short Hall on the Anchorage campus / UAA Dean
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. Are you interested in tackling these challenges with cutting-edge AI sensing techniques? At the AISensing team we focus on AI-powered sensing technology, spanning large-scale AI models, simulation of next
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and develop innovative PLL architectures and their key building blocks. Your work will include system-level modeling, architectural exploration, transistor-level circuit design, and detailed simulation