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, machine learning, and decision-making methodologies to design systems capable of functioning safely and efficiently under uncertainty. Limited teaching within the Global Business Engineering program can be
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Machine Learning for Acoustic Sensing under Uncertainty , done in collaboration with Aalto University and funded by an internal DTU grant. Our research at the Acoustic Technology group, DTU Electro focuses
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advantageous: Familiarity with LCA modelling, with consideration of mass and substance balances, data quality assessment, sensitivity and uncertainty assessment applied to membranes or similar products
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Computer Science section of DTU Engineering Technology and the Technical University of Munich (TUM). The project will investigate how technological, regulatory, and market uncertainties shape SMEs
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active within the following areas: Probabilistic assessment of structures and structural elements. Including focus on uncertainty modelling of structural models and load models. Derivation of optimal