214 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions in Australia
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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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. Fixed term, full time position available for 2 years with a possible of extension. Train with an amazing group of molecular biologists focussed on addressing critical gaps in our understandings
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Position to be based at La Trobe Melbourne Campus. An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend. The position: This prestigious La Trobe University
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
of the Bacterial Cell Envelope – From Molecular Structure to Metabolic Function: The cell envelope is the interface between a bacterial cell and its environment. MACSYS is currently modelling the structure and
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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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. 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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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