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learning, with experience in time series forecasting or related applications. You have experience with or a strong interest in graph neural networks, Bayesian methods or uncertainty quantification techniques
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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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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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, and participate in outreach activities that will be generally, but not exclusively, related to your research topics. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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two real-world care pathways using existing data and gold-standard LCA methods; supervising PhD candidates working on the quantification of environmental impacts in healthcare; contributing to peer