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-based models to predict cognitive decline in patients with cognitive impairment. The role emphasises computational and statistical methodologies to analyse multimodal data, enabling early detection and
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, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills
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industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with
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industry, learners bridge theoretical knowledge with practical application inside and outside of the classroom. These active and authentic learning opportunities ensure that graduates enter their careers
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industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with
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fields, knowledge of Indoor Environmental Quality (IEQ) factors and relevant standards, familiarity with personalized environmental design and control. • Able to multi-task and work independently
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forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step
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on cognition, pedagogy, and learning. Your work will involve both technical development—such as working with other AI researchers for fine-tuning models or building AI-powered educational tools—and
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are expected to develop and contribute domain knowledge, research skills and expertise at the host university while fulfilling the requirements of the CoS IPF. They will also actively seek out collaborative
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settings and (ii) explicit task execution knowledge embedded in multi-modal documents. This research will specifically look at the development of embodied and embedded intelligence, which allows AI-based