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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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full-wave simulations and characterize the relevant metamaterial structures. Extend existing analytical tools and numerical models. Prepare and publish scientific articles and reports and co-supervise
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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, including parameter optimisation and advanced monitoring techniques. Develop and refine process models, simulations, and automation strategies. Characterise microstructure, wear behaviour, and corrosion
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micro and nano-technologies (characterization, simulation, modeling), as well as in the design and characterization of circuits, microsystems and systems. Located at the convergence of many sciences and
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; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
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opportunities to (i) better integrate model and observational data, (ii) represent key physical processes in a short-term forecasting context, and (iii) characterize the uncertainty of these simulators. Where
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characterize their electromagnetic performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other