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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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on single- and multi-species biofilms conducted in the Translational Oral Biology laboratory based at the School of Dental Sciences. You will have opportunities to drive the development of microfluidics and
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high-level expertise to research on AI safety in multi-agent systems. The appointee will work as part of a collaborative research team to investigate open challenges in AI safety, including surveying and
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Southern Blues Restoration Coalition. The goal of this multi-party monitoring program is to evaluate the effectiveness of restoration treatments, inform adaptive management strategies, and develop social
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animals with various disease states may expose the individual to viral, bacterial, and fungal agents known to be transmissible to man. Exposure to chemicals and anesthetic waste gases may be potentially
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priority will be given to those in the following areas. Artificial intelligence (with a focus on Machine Learning, Multi-agent Systems) Systems and networking Cyber security Established in collaboration with
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latency constraints. - Federated and distributed learning for RAN hardware infrastructure management. o Knowledge of autonomous AI systems based on agents. Indicative skills/experience: - Multi-Agent
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polarizing agents for nuclear spin hyperpolarization in NMR spectroscopy and imaging applications. Project Overview: This research aims to leverage radical dynamics to improve spin polarization transfer
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML