91 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" uni jobs at Politecnico di Milano
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for energy applications. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test aimed
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technology. Experimental tests were carried out and the results were evaluated. Characterization of the achievable geometric accuracy and densification level in the produced parts. Where to apply Website https
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anomalies; Estimation of maximum defects by adopting extreme value statistics Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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, allowing timely corrective actions to be implemented. Furthermore, such models shall support the optimization of processes from an energy efficiency perspective. Where to apply Website https
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circular economy strategies and drafting policy recommendations. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information
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/ML datacenter networks, particularly in the presence of advanced multipath forwarding. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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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 machine learning
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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 machine learning
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MINIONS and involves: (i) the development and integration of microstructural simulation and radiation–matter interaction models, and (ii) the application of these integrated models to retrospective and