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to open-source radio access networks (Open RAN), focusing on their deployment and performance. The study is developed within the framework of the AIGUA5G project, which promotes the use of 5G and IoT
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 5 days ago
Curie Doctoral Network project entitled History, Archaeology, and Botany of Pacific Islands: assessing the Long-Term Impacts of Early European colonialism on Peoples and Forests (short name
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on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification
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and excellent opportunities for professional development A global network of partners Most of our approximately 190 employees work at the main office in Kjeller, a short train ride from Oslo. We also
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be hired as PhD student researchers at the CBGP. HOW TO APPLY: Please send your CV, including your chosen research project name and code, directly to the PI(s) of the project. You can contact
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position is part of the network Chair Governance of Complex Urban Transformation that is positioned at the intersection of the Institute for Housing and Urban Development Studies and Team Governance and
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industrial innovation. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network UP2MEM, a European training network committed to advanced MEMbrane technologies for water and food industries
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thalamocortical networks in humans and elucidate their critical roles in cognitive functioning, as well as in developmental and neurodegenerative disorders, thereby advancing our understanding of brain health and
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Network (MSCA-DN) SCARPA - Sustainable and Circular Footwear Training Program, within the Horizon Europe Programme of the European Commission. SCARPA is a consortium of high-profile universities, research
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expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront