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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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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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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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, biologists, and clinicians. Key responsibilities will include: Research: Develop nanomaterial-based technologies for molecular detection and cell analysis. Integrate biosensing components (e.g., optical
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of immunology and RNA biology, and to carry out activities to develop our research expertise in mouse models, T cell immunity, molecular biology and multi-omics. You will collaborate within a multidisciplinary
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features in alloys, to aid future alloy design. The UNSW team, lead by A/Prof Patrick Burr, will provide the modelling contributions, and the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, is in
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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
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cell biology, molecular biology, immunology, CRISPR-Cas9 technology and working with pre-clinical cancer models. You will have a proven track record of research achievement and the ability to articulate
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures