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emphasis on data-driven movement analysis. RRIS works very closely with clinical partners from the Tan Tock Seng Hospital (TTSH) and Woodlands Health Campus (WHC). RRIS invites applications for the position
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for the following full-time position in the Saw Swee Hock School of Public Health: Research Assistant (1 year in the first instance) A research assistant position is available in the Saw Swee Hock School of Public
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
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organisational support to the Director of the Centre for Population Health Risk Informatics and Simulation Modelling (PHRISM) and ensure smooth day-to-day functioning of the Centre. Duties & Responsibilities
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medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) cluster, a network
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science. Apply and/or develop cutting-edge computational methods, including machine learning and AI, to address fundamental questions in biology, medicine, or public health. Contribute to undergraduate and
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integrated IoT system development for aquaculture health and stress detection. You will focus on the experimental development and deployment of visual and physiological monitoring systems, supporting
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an emphasis on technology, data science and the humanities. The TARIPH Centre for Respiratory Research Excellence at LKCMedicine is a national platform advancing research in respiratory health and disease in
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relevant discipline (e.g. public health, epidemiology, health economics, statistics, quantitative social sciences, computer science); • Proficiency in statistical or scientific computing languages such as R
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an emphasis on technology, data science and the humanities. LKCMedicine is seeking a full-time Research Fellow in health informatics and epidemiology to join Professor John Chambers’ team for the SG100K study