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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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adapt a model of reef ecology from the Great Barrier Reef to the Red Sea. The model will use available data but new field studies are anticipated to help parameterise important processes. This is an
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thermalization in graphene metamaterials. The Research Fellow will work closely with a team of researchers to design and simulate graphene metamaterials for strong light-matter interactions in the mid-infrared
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online. Applications should not be sent to the contact listed below. Please provide a resume and a separate document addressing the main skills and experience listed in the position description. A copy of
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booklet. If you are unable to access this link, please email talent@uq.edu.au for a copy of the booklet. We encourage all applications, both domestic and international. Subject to individual eligibility
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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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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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. Apply and upscale models to industry-relevant scenarios, deploying simulations on high-performance computing (HPC) infrastructure and integrating outcomes into commercial workflows. Collaborate and
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individual to work on an exciting modelling and simulation project, involving extensively applied work at the intersection of software engineering research and modelling and simulation, with real-world testing