15 public-health Fellowship research jobs at Nanyang Technological University in Singapore
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disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state
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will develop new computational algorithms to decode the comprehensive interactions between microbiome and metabolites/proteins, and how they affect human health. As a Senior/Research Fellow, you will
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intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer
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that advance health and medicine. The candidate will join the team to undertake high quality research in microbiome medicine, in line with the overarching research strategy of the school. Key Responsibilities
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generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and
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): Platform 3 Artificial Intelligence, Digital Health, and Human Potential” for 24 months. The RF/RA will play a crucial part in coordinating, delivering, and evaluating the program, to enhance medication
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-world solutions for global health challenges. Key Responsibilities: Research and Development: Lead cutting-edge research in the development of AI-based smart healthcare monitoring devices. This involves
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to the existing public health infrastructure of Singapore and of the rest of the world. Microbial pathogens are becoming more and more difficult to treat as they steadily gain partial and full resistance to last
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principles, public health considerations, and systems biology frameworks. We are seeking a dynamic Senior Research Fellow to contribute to projects focused on air quality monitoring and respiratory disease
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health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related field Expert knowledge in Li-ion batteries and machine learning techniques, as well