81 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Politecnico di Milano
Sort by
Refine Your Search
-
decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
-
their adaptation into concrete policies, plans, and projects in Middle Eastern cities. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
-
mines, areas subject to landslides hazards, or large civil infrastructural development areas. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
-
computational resources to ensure the efficiency of analysis, modeling, and machine learning tasks. The researcher also contributes to defining policies that ensure security, service continuity, and scalability
-
anisotropic mesh adaptation. All techniques will be implemented within the in-house TCAD simulator of Micron Techmology. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
-
focus on materials such as transition metal oxides, aiming to reveal redox mechanisms and support the design of more efficient electrodes for energy applications. Where to apply Website https
-
., power supply for lunar habitats). Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria quality
-
-scale system, as well as the contribution of this technology within the broader context of decarbonisation. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio
-
be identified and analysed. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria quality
-
Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria quality, originality, and innovation of the research proposal