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- Alma Mater Studiorum - Universita' di Bologna
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- Fondazione Bruno Kessler
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- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI CHIMICA INDUSTRIALE "TOSO MONTANARI"
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- progetto FLINT, CUP B69J25001080005
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contexts, deposited materials and the geographical distribution of necropolises, the investigation seeks to understand the dynamics of social self-representation, status differences, intercultural relations
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exploitation of the OASIS (Off-grid Automatic System for Irrigation Sustainability) patent, concerning a smart, energy-self-sufficient valve for distributed monitoring and control of pressurized irrigation
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flexible ecological modelling tools to help EU authorities design and optimize effective nature restoration plans. The postdoc will model species distribution at fine scale using advanced Species
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for environmental pollution sciences. It focuses on robustness to distribution shifts, degraded inputs, and out-of-distribution conditions, while also addressing uncertainty quantification, explainability, fairness
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. Still, many challenges are ahead. Expanding their impact in real-world deployments requires addressing the heterogeneity of hardware, data, and resource availability in distributed scenarios
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on developing new methods, models, architectures, and tools for monitoring, forecasting, and managing distributed energy resources powered by renewable sources, building on the results achieved within Spoke 5
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reinforcement learning methods for cooperative source localization in dynamic marine environments. Research will address distributed information fusion, decentralized coordination, and control with event
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
. The proposed project aims to develop new techniques for observability analysis and distributed state estimation directly from data, even in the presence of noise, disturbances, and unmeasured inputs
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, safety and cooperation in complex production environments. Generative AI techniques for innovative designs, process simulations in distributed infrastructures and predictive analytics will be explored with
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for identifying potential issues—such as defects in joints or ballast conditions—as well as detecting intrusions and rockfalls. Where to apply Website http://www.santannapisa.it/ Requirements Additional Information