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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Autonomous Drone Navigation for Maritime Environments to develop safe and
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from aquatic sediments represent a major uncertainty in the global carbon cycle. This project seeks to advance our mechanistic understanding of methane gas dynamics across multiple spatial scales by
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methods that incorporate domain-specific information into latent-variable models. Investigate methodological questions related to computation, identifiability, uncertainty quantification, and interpretation
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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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submit their application incorrectly or who do not prove the requirements demanded in this competition shall be excluded from admission. The jury is entitled to require any candidate, in case of doubt
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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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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in yards, creating opportunities for more data-driven planning. AI can replace or supplement traditional planning approaches, which struggles to manage the uncertainty and variability that are inherent
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within the CREST-GLOBAL research team, which focuses on equitable urban transitions and decision-making under uncertainty, in close interaction with the Department of Design. Are you motivated to take a
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complexity, fault susceptibility, countermeasure effectiveness, robustness across devices and operating conditions, reproducibility, and the uncertainty and confidence associated with security conclusions