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Field
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artificial intelligence-driven pupillometric and eye-tracking strategies to detect ocular and cerebral neurodegeneration. The successful candidate will be part of a versatile research group from NUS and the
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group investigates how intelligence emerges from the collective dynamics of simple processing units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide
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contribute to a new research project on Artificial Intelligence (AI) for mental health. Key Responsibilities: Lead and conduct research on AI-mediated communication in emotional and mental health contexts
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incorporates the use of Artificial Intelligence tools to evaluate and adapt knowledge management practices. The candidate will conduct systematic literature reviews, critical analysis, data collection through
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
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genome editing, CRISPRa/i Animal work and rodent surgeries Machine learning / artificial intelligence (using imaging or 'omics data) Responsibilities: Lead independent and collaborative projects; establish
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing