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and extend existing numerical codes to simulate these phenomena. Some experiments and modelling will be done in collaboration with other PhD students in the GRAIL project. Your tasks: • Simulate
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meetings to present and discuss the research outcomes. The HYDROUS project aims to advance green hydrogen production through electrocatalysis by developing novel molecular models to elucidate the fundamental
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? No Offer Description The research assistant will be responsible for analyzing mathematical models and algorithms for tracking gas composition in CO₂ pipeline transport systems, as well as for detecting
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-based modelling and design of microwave and RF devices. Perform electromagnetic simulation, design, fabrication, and experimental validation of microwave and RF components. Develop physics-assisted AI/ML
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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simulation environment so that issues at the interface between the electricity markets, end customer supply, and decentralized energy systems can be investigated. To this end, suitable models and methods
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surrogate model for giant impacts trained on SPH simulations, and then to analyse the results in the context of the geophysics, geochemistry and dynamics of the terrestrial planets. For more information and
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for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time
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position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that