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linear fractional representations; Model identification, validation and uncertainty quantification; Set up the performance and stability analysis frameworks to verify the DFAOCS performance and stability
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of Earth and Environmental Science (MGeo), Lund University, seeks to appoint a post-doctoral fellows to work on the quantification of boreal CH4 wetlands emissions based on assimilating relevant
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application: Knowledge in kernel-based learning and uncertainty quantification is a plus. What you will do Perform research Publish in peer-reviewed international journals and conferences Support Ph.D
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networks, risk analysis or uncertainty quantification (preferred). Knowledge of data science in general as well as practical experience with conducting data science analyses with good programming skills
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strengthen your application: Knowledge in kernel-based learning and uncertainty quantification is a plus. What you will do Perform research Publish in peer-reviewed international journals and conferences
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human and natural systems as well as intrinsic variability. The need to translate to variables and scales relevant for stakeholders with appropriate uncertainty quantification requires physics-guided AI
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Qualifications: · Experience with neutrino data analysis, MeV-scale nuclear reactions, nuclear data evaluation, and/or uncertainty quantification techniques · Experience in developing physics event generators and
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, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation, quantification of uncertainty, and inference. To thrive in
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for the repository and across faculty research groups, including workflow development, reproducible analytics, and computational resource optimization. Provide expertise in data visualization, uncertainty
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. A particular focus of the project will be on: 1) Graph Neural Networks for cosmology, neutrino and/or collider physics, 2) Domain adaptation methods / model robustness, 3) Uncertainty quantification