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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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to apply Website https://www.academictransfer.com/en/jobs/357846/post-doctoral-researcher-digita… Requirements Specific Requirements Responsibilities and tasks: Employment of state-of-the-art tools to run
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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
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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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). SLT and the estimation of such quantities has recently led to many applications, ranging from model selection and uncertainty quantification, over detecting phase transitions in machine learning models
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? Which disruptive technologies or paradigms (specific architectures, lightweight adaptation methods, xAI, interpretable-physic awareness, uncertainty quantification, etc.) will you explore? Why is this