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Field
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and maximize model performance and generalizability. Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other
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Define, establish, and maintain the digital analytics measurement strategy and governance process. • Chief Learner Experience Office – Berwick Campus • Full-time, fixed-term appointment until June
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this aberrant nerve activation. We employ a series of chronic telemetry-based approaches as well as acute electrophysiological preparations to evaluate the changes in nerve activity in parallel
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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processes are unknown. The project will explore catalysts on a single atom level for the synthesis of bio-based aviation fuel. Single atom metal promoters dispersed in a metal host offers unique possibilities
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learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
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with thousands of robots learning synchronously in parallel. In particular, you will take a leading role in creating the simulation environment, 3D printing promising robot hand designs, and setting up a
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 20 hours ago
researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists
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, or reinforcement learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. In particular, you will take a leading role in creating
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algorithms to explore creative new hand designs, and reinforcement learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best