12 computational-intelligence "Computer Vision Center" Postdoctoral positions at Monash University
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Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical understanding of how magmatic ore deposits form. Such deposits contain critical minerals including nickel,...
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-dynamical perspective, offering substantial scope for fundamental new insights. Keywords: applied mathematics Computational Fluid Dynamics Fluid mechanics Application Instructions To Apply Applicants
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computer programming background who has an interest in ecology and biodiversity conservation, or an ecologist with computational modelling experience (e.g., using R, Python, Matlab). Project funding
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer
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Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer
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research is partly automated? Could new publishing or funding mechanisms produce better science? This project uses game theory and computational models to study science as a social system. The precise
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research is partly automated? Could new publishing or funding mechanisms produce better science? This project uses game theory and computational models to study science as a social system. The precise
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algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
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algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance