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                for disorder approximation (e.g., special quasi-random structure/partial occupation/cluster expansion), and accessories for materials simulation (e.g., ase/pymatgen) and high throughput framework (e.g., atomate2 
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                to pioneering research in open-system quantum simulations with trapped Rydberg ions. This position is part of the ERC Synergy project "Open 2D Quantum Simulator (OPEN-2QS)". The OPEN-2QS project aims 
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                . The research topic of this PhD is Accurate and Scalable Simulation of Edge Systems.You will be part of the Cyber-Physical Systems group . General information about the position. The position is for a period of 
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                and development activities in the fields of atomistic simulations, including density functional theory, machine learning, and molecular dynamics. The work involves theoretical and experimental research 
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                engineering. Such changes can often be informed through mechanistic understanding of the destabilising processes. About the role This industry-sponsored project will explore molecular dynamics simulations 
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                Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration 
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                ) position on the development and application of phase field methods for dynamic earthquake rupture simulations in the context of enhanced geothermal systems, CO2 sequestration, and earthquake physics 
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                Transport? Based in the Institute for Transport Studies at the University of Leeds, you will primarily contribute to the modelling and simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy 
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                simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute 
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                Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches