359 computer-programmer-"U.S"-"University-of-St"-"U.S" Fellowship positions in Singapore
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research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities. The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture
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postdoctoral fellow to join the Genome Re-InnovaTion-Lab (https://grit-lab.org/), part of the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore, Yong Loo Lin School
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project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. CTP aims to develop, inspire, and accelerate knowledge-based solutions and
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for the next generation quantum computer. This program is funded under the National Quantum Processor Initiative (NQPI), a flagship program under the National Quantum Office Singapore. We are developing
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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) to join our research team, focusing on the morphological characterization of biological samples. This role is part of our broader mechanobiology research program, which investigates how cells and tissues
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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Postdoctoral Fellow – Mitochondrial Microproteins & Therapeutic Innovation Lena Ho Lab | Duke-NUS Medical School, Singapore Cardiovascular & Metabolic Disorders Programme Advance scientific
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems