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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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environment and will have the opportunity to be integrated in established international research net-works. Internationally competitive salaries and social benefits are provided according to the rules
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institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and postdocs. Learn more
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heritage. Muoniverse brings together 30 research teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates
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responsible for >60% of global deaths. The PhD position is part of The LipidBRIGHT Consortium. As an European Doctoral Network LipidBRIGHT combines scientists, clinicians, companies and stakeholder
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) ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools. ENDOTRAIN will train a new generation
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, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net Land Take. The consortium comprises four