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Field
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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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cooperation; to stimulate the ability to research independently both in terms of scientific understanding and technological spin-offs of the research topics studied. It aims to offer structured educational
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plane-based slicing to reveal internal structures, supporting diagnosis and (pre)operative planning. Where to apply Website http://www.unifi.it Requirements Additional Information Eligibility criteria
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dynamic behavior of:1) adhesive joints in composite structures; 2) external reinforcements using organic and inorganic matrix composites in existing structures. The motivation for the research is to improve
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to be employed, with a focus on the integration of physical models and machine learning • Detailed work plan, structured on a six-monthly basis • Risk analysis, with mitigation strategies • Proposal
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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
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information: https://sites.google.com/view/diametroit/home . Where to apply Website https://concorsi.unige.it/home Requirements Additional Information Eligibility criteria The qualification to apply every
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its current challenges—is required. More information is available on the official project website: https://sites.google.com/view/diametroit/home . Where to apply Website https://concorsi.unige.it/home