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States of America [map ] Appl Deadline: (posted 2025/01/10, listed until 2025/07/10) Position Description: Position Description Multiphysics, Machine Learning, and Uncertainty Quantification Postdoctoral Positions Los
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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, Uncertainty. If you have experience and wish to explore how to build systems (both foundational or applied) that can handle uncertain or incomplete data prevalent in urban decision-making scenarios, please
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tasks require high-frequency evaluations of forward models, in order to quantify the uncertainties of rock and fluid properties in the subsurface formations. Therefore, the objectives of this research
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. You will contribute to the following areas: Review and benchmark datasets used for initialization, calibration, and validation of GCMs, identifying sources of uncertainty and quantifying their impact
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to evaluate to what extent ongoing scientific discrepancies and uncertainties are a consequence of (i) people using different methodological approaches, (ii) the types of data considered (including possible
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for solving problems related to safe robotic exploration and planning under epistemic uncertainty. We typically work with Markov decision processes (MDPs), and are looking for someone with experience in both
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at the Cyclotron Institute in stellar models and identify important nuclear-physics uncertainties for stellar models and, with local experimental and theoretical faculty and researchers, design future studies to
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 9 days ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
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from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials