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of methodologies for the dynamic analysis of the energy, economic, and environmental performance of complex energy systems, with particular reference to transportation systems and related infrastructures. The post
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necessary to make closely related decisions while ensuring that complex constraints are met and optimizing the often-conflicting criteria of different stakeholders. The objective of this research is to design
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and cyber-physical software; Runtime verification of cyber-physical and autonomous systems; Target applications may include autonomous systems, collision avoidance, mission and plan monitoring
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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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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The program examines the impact of complex digital systems and technologies
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | about 6 hours ago
30 Dec 2025 Job Information Organisation/Company Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze Department Dipartimento di Scienze
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followed by the definition of heat pipe technical specifications through thermo-physical characterization and dedi-cated modelling. A lumped-parameter thermal model will be imple-mented for integrated system
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of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description MPL is a physical collection of plant species characterized using
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical