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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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on plant molecular biology, genetics, and diagnostics. With mentorship from leading researchers, you’ll develop state-of-the-art molecular diagnostic assays to advance plant disease detection, strengthen
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companies. These three research focused opportunities are being sought as follows: Positions 1 and 2 will conduct research into melanoma treatment resistance. Ideal candidates will have knowledge of molecular
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independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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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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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
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the context of reproductive ageing. A focus on cellular and molecular biology techniques will be employed using animal models and human tissues. Who you are The successful candidate will enhance the science