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Field
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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aimed at breakthrough innovations in model capabilities, reasoning, safety, and efficiency. Algorithm & Model Development (LLMs & AIGC): Design and develop novel architectures for large-scale language and
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mobile robotics, you will manage own academic research and administrative activities, adapt existing and develop new methodologies in robotics, design working algorithms from theories, deploy and test
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include: Advanced Reinforcement Learning: From sample-efficient offline RL to multi-agent coordination and hierarchical RL, we are developing algorithms that can learn complex behaviors and strategies in
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Monte Carlo algorithms as directed by Professor Sandeep Sharma in the Division of Chemistry and Chemical Engineering. Essential Job Duties Develop and maintain auxiliary field quantum Monte Carlo
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the state’s position in quantum algorithm development. Additional partners include Siemens, Aurizon, and Queensland Energy, collaborating to pioneer quantum technologies for decarbonisation. Hosted by the ARC
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manual data processing and integrate warehousing; Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale clinical datasets Collaborate with data scientists
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to test the current algorithm and inform development of future algorithm refinements aimed at supporting diabetic foot ulcer (DFU) prevention through identification of temperature differences of > 2.2°C
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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the gap between cutting-edge ML research and practical implementation Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run