269 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions in Australia
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Newsroom News, research and experts from the University of Melbourne Science and the Environments Running too fast can be deadly for bearded dragons, fitness trackers reveal 16 Jul 2025 A third of young people ripped off by employers, study shows More than one in three young people have...
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Respect at Melbourne Content warning: This website includes information on sexual harassment and sexual assault and may be distressing for some people. For support, contact the Safer Community Program . The University of Melbourne is committed to eliminating sexual misconduct and promoting...
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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literature by providing new insights into how culture shapes positive self-regards. Objectives 1. Conduct a comprehensive review of literature that examines self-compassion cross-culturally. 2. Collect and
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. The team will deeply probe this exciting development in electrochemical and material sciences. We will combine our expertise in electrochemistry and chemical catalysis with polymers, materials chemistry and
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) through molecular and material engineering, as well as device engineering. The research will involve material design, synthesis and characterisation, solar cell assembly, testing and characterisation under
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grow new materials by molecular beam epitaxy, or create heterostructures of materials by exfoliating and stacking atomically thin layers from crystals, and fabricate nanoscale electronic devices
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My research explores ways to determine the atomic architecture of materials so we can understand and manipulate a material’s behaviour. At the atomic level, amazing and beautiful quantum phenomena can occur that are very different to the macroscopic world. Our group develops methods to measure...
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr