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Field
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize bi-phasic FRP retrievals for dynamic
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that rigorously accounts for diverse uncertainties in the life-cycle demands, system's state, and decision criteria. This project thus aims to offer an engineering response to infrastructure adaptation, mitigating
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our complex society. Dr. String’s lab profile at Gabrielle String and Dr. McAndrew’s lab profile at Computational Uncertainty Lab Other responsibilities may include: Design, execute, and analyze
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intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
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fundamental principles governing how living systems respond to uncertainty and stress. Specific Qualifications for Project C To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign
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established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics. (Please find a German version below the English text.) The Chair of Decision Sciences and Systems
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evaluating data visualization techniques for communicating statistical information, especially uncertainty information, to wide audiences. Candidates will draw on expertise in data visualization and HCI, and
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and
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, carbon capture and utilization, transportation electrification, energy transportation, energy water systems, environmental/health impacts, etc. Experience in decision-making under uncertainty and/or life