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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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integrated research in computational, information and experimental sciences. (1) Development of molecular dynamics simulation model of network formation by free radical polymerization in an extension
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Date of Assignment, Project, or Grant) 08/15/2026 Position Type Faculty Job Family Faculty Position Overview This postdoctoral appointment in theoretical and computational chemistry/molecular physics
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physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc
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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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for pathogenic microorganisms. Molecular biology skills sufficient to characterize the microbial community present in dynamic settings both qualitatively and quantitatively. Bioinformatic and genomic analysis
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the area of fundamental modelling with molecular dynamic and ice/substrate interface bonding analysis. The main aspects of the research fellow role include conducting icing experiments in the Cranfield Icing
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» Combinatorial chemistry Chemistry » Combinatorial chemistry Chemistry » Inorganic chemistry Chemistry » Molecular chemistry Chemistry » Physical chemistry Chemistry » Reaction mechanisms and dynamics Chemistry
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research ideas. Experience in conducting molecular dynamics simulations—including free energy calculations or advanced sampling techniques—is essential, ideally involving proteins, nucleic acids, or other
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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