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distributed systems. Minimum requirements: - Solid knowledge of database engine implementation; - Solid knowledge of optimization algorithms (Volcano/Cascades); - Practical development experience with
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projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and oversee the design, execution, and analytical planning of projects. Lead key
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, National Disability Data Asset) experience with meta-analytic techniques. Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not
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of marine geophysical survey and machine learning algorithms; Job Requirements: A Bachelor degree in geophysics or equivalent and A PhD degree in geophysics / geomechanics or equivalent from a recognized
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limited to, deep reinforcement learning, federated learning, deep learning and meta learning. The overall aim is to improve the efficiency in cyber-physical systems, such as drone swarms, that support 5G
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; (d) Participation in testing and validation activities in an operational environment (testbed in a real water distribution network); (d) Production of technical documentation and contribution
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or a related discipline. Experience: Candidates with experience in the following areas are encouraged to apply: Evidence Synthesis (including but not limited to systematic and scoping reviews, meta
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Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field data acquisition
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and
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mathematics, while abstract mathematical concepts generate fresh insights into algorithms and discretization techniques – critical for numerical computations and simulations. This convergence signifies a