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, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is
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of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. As a Research Fellow
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limited to): Collaborate with research teams to conceptualise impactful research ideas and develop proposals aligned with strategic priorities Lead and manage research projects from initiation to completion
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On
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reference. Collaborating with AI scientists to provide domain insights that aid in the development of AI models. Performing experimental verifications of materials recommended by AI models. Publishing
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cardiometabolic and mitochondrial biology. The Endogenous Peptides Laboratory, led by Dr. Lena Ho, is a leader in microprotein discovery, functional characterization and therapeutic development. The goal
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health technology assessment and medical innovation development. The research team works on the crossroads of health economics and medical innovation development. We work on diverse projects including
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Responsibilities: To perform pioneer research in scent digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different
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. Teaching, Research and Development • Provision of teaching on topics related to the post holder’s work as requested by the line manager. • Contributing to the department’s multidisciplinary research