4 high-performance-computing positions at Singapore University of Technology & Design
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decision-making. Build robust, scalable experimental platforms capable of long-duration and autonomous operation. Contribute to high-impact journal and conference publications Mentor graduate students and
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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– shape the learning of environmental representations (cognitive maps and world models) across age groups. This project is a close collaboration with the School of Computing and Information Systems
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) cluster has an open position to hire a tenure-track Assistant Professor with a strong record of scholarly research in high performance computing applied to many-body quantum systems such as condensed matter