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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
considered. For further enquiries about the positions, please contact Professor David Taylor (geodmt@nus.edu.sg ). More Information Location: Kent Ridge Campus Organization: Asia Research Institute Department
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg . Key Responsibilities Engage
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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imaging and viral/drug/ASO delivery. Identify and develop suitable approaches for the collection and analysis of data. Maintain accurate and complete records of all findings, and ensure the validity and
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into products and services for Continental through close collaboration with its business units. We invite the application for the position of Research Fellow. Key Requirements: Conducting the research in AI
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also leads to discovery and testing of new diagnostic tests, treatments and control strategies (such as vaccines). The position of Research Fellow / Senior Research Fellow will have the responsibility
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Develop surrogate models to accelerate and extend turbulence simulations Apply PINNs to solve turbulence equations while enforcing physical constraints Job requirements PhD degree in physics Demonstrated
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quantum sensing technologies (e.g., Rydberg atomic sensors) for wireless communications and sensing. Key Responsibilities: Develop quantum-related theories, models, and algorithms for various communications
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such falls prevention programmes at a national level. The successful candidate will lead and coordinate data collection efforts for cost-effectiveness analyses, including obtaining and harmonising healthcare