81 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Politecnico di Milano
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, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
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Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria quality, originality, and innovation of the research proposal
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direct relevance to emerging 6G technologies. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria
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performance and remaining useful life prognostics, combining experimental data with physics-based and statistical models. A key role is played by Artificial Intelligence and Machine Learning techniques
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institutions facing socio-technical and environmental transformations. The research integrates Design Futures, strategic foresight, speculative design, and experiential learning to enhance universities’ ability
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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 CAL:TS project integrates academic learning, social innovation, and problem
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Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria quality, originality, and innovation of the research proposal
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materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating
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include: (1) implementing light–matter interaction in CFD via the radiation transport equation and suitable attenuation models; (2) integrating kMC-based surface kinetics through machine-learning surrogate