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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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patients and communities, and building an ecosystem of innovation and entrepreneurship at the SingHealth Duke-NUS Academic Medical Centre (AMC). The Innovation Education and Ecosystem Development (IE2D) team
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Develop and optimize AI models, including
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, clinical reasoning, and Team-Based Learning (TBL) facilitation in Phase I. The faculty member will also contribute to curriculum development through participation in curriculum mapping, review processes, and
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health interventions. Developing and applying economic theories and models to support efficient and equitable healthcare resource allocation and priority setting, optimising healthcare delivery and
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Technologies for Agricultural Precision (DiSTAP) program is developing a suite of novel analytical, genetic and biomaterial technologies that are fundamentally changing how plant biosynthetic pathways
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social sciences, enabling them to develop strong, independent research portfolios while contributing to the College's research, teaching, and intellectual life. Key Responsibilities: Fellows will be
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Student Affairs (OSA) cultivates caring student life communities that empower every student’s unique learning journey and embraces growth beyond academics — supporting personal development, fostering