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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 8 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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Research profile in machine learning (e.g. robustness, out-of-distribution/anomaly detection, fairness, explainability, uncertainty quantification) or AI applications in the healthcare domain Interest in
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LBM implementation. Given that numerous measurements and parameters are subject to uncertainties, the project also incorporates uncertainty quantification (UQ) with the ultimate goal of providing
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. Moreover, the successful candidate will also need to develop a system to estimate the uncertainty of the predictions. Potential solutions could include ensemble generation, a combination of EOF
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ability to quantify and model these processes remains limited, contributing to uncertainties in global carbon sink estimates. You will analyze data and samples from past and upcoming expeditions to evaluate
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marine lightscapes in the ISOLUME project. You will provide a detailed analysis and uncertainty assessment of remotely sensed estimates of turbidity and light attenuation from various ocean colour products
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methods and their implementation, High-Performance Computing experience, methods of Uncertainty Quantification Offer – What you can look forward to: A dynamic, international team from various disciplines
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another relevant natural or engineering science Good knowledge of uncertainty quantification (including Bayesian techniques), random sampling, data evaluation methodologies, and game theory Knowledge
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the German Research Foundation project CHOICE – “Ocean heat and carbon storage under ambitious emission mitigation: Uncertainties due to the representation of ocean mesoscale eddies in a non-eddying Earth
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
control of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human