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images for depth retrieval. Recent advances in processing methodologies of SDB offer promising solutions. This project aims to enhance SDB accuracy through deep learning pan-sharpening and physics-informed
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address this issue by proposing a novel control design paradigm embracing ideas from the emerging field of distributionally robust optimization (DRO). DRO is a decision-making model whose solutions
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enable the exploration of innovative design solutions compatible with system constraints and requirements, the fabrication of the prototype devices, their functional characterization, and their integration
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MSc and PhD students, postdocs, professors, and industry R&D experts. Your responsibilities will extend to interpreting the scientific significance of measurements, advising users on sample preparation