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of Singapore invites applications for Research Assistant in the Infectious Diseases Translational Research Program (IDTRP), Yong Loo Lin School of Medicine. The Infectious Diseases Translational Research Program
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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to prospective fellows whose ambition is to pursue an academic career - the program is tailored to facilitate such careers. In addition to mentoring in the specific areas of specialization, the CIL Postdoctoral
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equivalent) in Geospatial Sciences, Computer Sciences, Architecture and Urban Planning, Environmental Sciences, Geography, Landscape Ecology, or any other related field. • Strong research background in
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with a team, have an investigative nature and attention to detail; have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and have good communication skills with patients and
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highly motivated and technically skilled Post-doctoral Research Fellow to join an interdisciplinary research programme focused on advancing mixed-mode ventilation (MMV) in the tropics. The aim is to
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. The Health Services and Systems Research (HSSR) Programme at Duke-NUS is a centre of academic