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Field
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ability to register with Agile/Fleet Commander . Preferred Qualifications Competence with life cycle assessment methods and software, including uncertainty methods, spatialized approaches, and integration
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DOE-STP Critical Minerals and Energy Innovation - Alternative Fuels and Feedstocks Office Fellowship
of alternative fuels, fertilizers, chemicals, and feedstocks at various scales. This work reduces technical and operational uncertainty, mitigates risk, and enables industry-led scale-up and commercialization
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to, the nature and role of scientific evidence, causation and explanation in complex systems, uncertainty and decision-making, risk ethics and theories of moral and legal responsibility, justice and vulnerability
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 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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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