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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical
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entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields
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quality and resilience scores for multiple pharmaceutical products and 2) perform research on the drivers of higher or lower quality risk and resilience. This is a large project with multiple research
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addition to the academic unit, the Department comprises two outreach and research arms: the Assistive Technology Resource Center and the Center for Community Partnerships. The Brainwaves Research Laboratory is an
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develop a comprehensive understanding of the various needs and interests that become inscribed in, or are left out of, technology-centred imaginations of future-care. While speaking to practical concerns
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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the frameworks. • Elucidation of the effects of coupled confinement of multiple catalytic centers. Requirements • Master's degree in Chemistry or Materials Science. • Experience in organic/metal–organic
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multiple objectives in real-time. The complexity of coordinating these distributed systems while ensuring stability and optimal performance presents a significant technical barrier that must be overcome
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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overall knowledge. Across this field, there are multiple fundamental, scientific challenges to overcome, including but not limited to: mechanical and physical behaviour of materials, effects of environment