76 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at Politecnico di Milano in Italy
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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 goal of the research program is to develop machine learning techniques
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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 goal of the research program is to develop machine learning techniques
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the RELAB laboratory for the testing and development of machines for indoor air conditioning. Specifically, it concerns the analysis of the machines' noise production, both for internal and external equipment
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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 research activity will focus on the development of algorithms for machine
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for Physics-Informed Statistical Learning for applications to real data problems of sustainable development. Regression models capable to integrate the available data with the a-priori knowledge derived from
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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
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of transnational findings and guidelines, and collection of lessons learned and recommendations. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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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