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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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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
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at the RMIT 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
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, Quantum espresso); molecular dynamics simulations (e.g. LAMMPS, DL-POLY); development of inter-atomic potentials (e.g. pro-fit, MLIP-3); Demonstrated experience in meso-scale models such as cluster dynamics
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group of A/Prof Patrick Burr, please visit https://www.patrickburr.com/group In your role you will be responsible for performing ab-initio and molecular dynamics simulations, and for developing inter
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comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics
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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific