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integration. Design and implement a context-aware gating mechanism that adaptively combines the expert models over time, addressing leakage-free training and uncertainty propagation. (iv) Validation and
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: Presentation of the academic qualifications and/or diplomas, if applicable. Work plan: The work plan will focus on the development and application of machine learning and explainable artificial intelligence
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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Sciences and Humanities C. Work plan, tasks: The selected candidate will have a background in democracy, human rights and information communication technologies with a specialization in citizen-generated