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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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in the field of quantum information and optimisation. This position is part of the Australian Research Council funded Discovery Project titled “Exploiting duality in quantum relative entropy
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collaborative research, further developing expertise within the field. Key Responsibilities Conduct research on complex quantum processes, particularly using the process tensor formalism, and leverage practical
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to leading-edge research in theoretical condensed matter physics, with a strong focus on correlated quantum phenomena the following areas: Ultracold atomic gases Light-matter systems As a Research Fellow, you