18 structures "https:" "https:" "https:" "https:" "https:" positions at Politecnico di Milano
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ownership structures across generations. Particular attention is given to the role of next-generation family members and family offices in orchestrating continuity, innovation, and responsible wealth
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integrated photonic devices based on silicon nitride (SiN) technology for applications in the optical O-band (1250 nm – 1350 nm). The activity includes the design of test structures and the experimental
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range with unprecedented resolution exceeding 40 meV. The project has a strongly experimental approach, from instrumentation design, through construction and commissioning, to its use in the study of
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for: i) Multi-level decision-making; ii) Participatory planning; iii) Privacy-preserving information-sharing; i Automating post-incident learning with structured DAO-logged data. The project advances a
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between Numerical Analysis and Machine Learning, with a focus on physics-informed machine learning. The goal is to design learning strategies that embed the structure of governing physical laws, enabling
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construction of the experimental setup, the activity includes the definition of testing protocols and the identification of the main parameters to be monitored. The researcher will also be responsible
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at understanding catalytic mechanisms and reaction kinetics, as well as at establishing correlations between the structure, activity, and stability of the materials employed. In particular, the work will include
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of renewable sources and energy storage systems. In particular, the research will focus on the application of new electronic power converter structures for the power supply of railway lines and electric vehicle