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of advanced AI-based, automated, and intelligent fast-control strategies for voltage control in future distribution grids with high uncertainty and dynamic environments. The project will consider various
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function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/sbs
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent RL for Autonomous Drone Swarm to develop learning-based
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systems The ability to work independently, select and justify methods, communicate uncertainty, and take responsibility for a research workstream Excellent scientific writing and communication skills in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the ARC Discovery Project grant “Responsible Statistical Learning: Uncertainty, Fairness and Transparency”. The successful candidate will play a key role in advancing high-quality research under the ARC
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the Phanerozoic (last ~540 million years). A key focus of this role is to explore uncertainty in three-dimensional ocean biogeochemistry over this time interval and its implications for geochemical proxy records
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studies, and how information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who
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basic physics. The researcher will perform theoretical and laboratory work to develop optimum methods for measuring the mass of the particles, including radionuclide samples. Advanced uncertainty analysis
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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Source and conduct new experiments at these facilities. Collaborate with AI/ML researchers to incorporate forward models into inverse modeling, uncertainty quantification, autonomous analysis, and