80 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Politecnico di Milano
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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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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for selection Where to apply Website https://www.polimi.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility of fellows: country/ies
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using machine learning methodologies; (2) the extension of an existing CFD framework for multiphase modeling to the case of PEC systems; (3) the implementation within the framework of a description of
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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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components. On this basis, unsupervised learning methods will be applied to classify neighborhoods into urban types that describe the interactions between density, greenery, and habitat quality. Where to apply
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trends in the development of energy and mobility infrastructures; - monitor changes in the regulatory landscape. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio
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and interest in Smart Home solutions. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test
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sector; - highlight the main evolving trends that are shaping the digital healthcare sector. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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to identify trends and evolving dynamics; - evaluating the impact, benefits, and barriers of Open Innovation in the Italian context. Where to apply Website https://aunicalogin.polimi.it/aunicalogin