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Field
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explainability. Approaches include, but are not limited to, transfer learning, augmentation and residual learning. key words polymers; machine learning; uncertainty quantification; domain knowledge Eligibility
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their merging and application in hydrological modeling. Experience with nowcasting methods, the development of nowcasting techniques, and the quantification of nowcasting uncertainties are essential. Experience
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of spectrophotometric pH measurements in seawater. Marine Chemistry, 259: 104362. https://doi.org/10.1016/j.marchem.2024.104362 . analytical chemistry; marine chemistry; carbon dioxide; uncertainty quantification
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with one or more of: Health claims data, EHRs, or other large-scale health/administrative datasets Environmental, climate, or air pollution exposure data Causal inference methods Uncertainty
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 22 hours ago
for unconventional reservoirs. Advance subsurface characterization skills through the integration of geologic modeling, geostatistics, and uncertainty quantification. Build written and oral communication skills
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-funded project entitled “A continually-learning framework for uncertainty quantification and translation of preclinical studies to human cardiovascular safety”. The central aim of the project is to develop
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generation and pressure evolution. Our approach will combine physical insight with data-driven techniques and uncertainty quantification, offering fast, reliable predictions and contributing to safer, longer
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for experiments, or uncertainty quantification Experience with autonomous, self-driving, or robotic laboratory platforms Background in electronic polymers, conjugated polymers, organic semiconductors, soft
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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architectures (e.g. neural ODEs, flow matching and continuous normalising flows), robustness, interpretability and uncertainty quantification; collaborate with researchers across the ACT to identify emerging