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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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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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adaptable networks. Recently we have developed different types of inherently flame retardant dynamic networks for fire safe fiber reinforced composites and self healing coatings. The proposed position will
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, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
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& further information International Networking Close Menu Engagement back Overview PageEngagement Awards Knowledge exchange Action plan 2025-27 back Action plan 2025-27 Empowerment GROW Guidelines & Quality
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100%, Zurich, fixed-term ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools
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100%, Zurich, fixed-term ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools
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the Marie Skłodowska-Curie Doctoral Networks (MSCA-DN) project Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE). COMBINE brings together a consortium of leading academic and
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) for positioning and communication Depth camera Low power Radars Key research topics include: Embedded Machine Learning (Spiking and non-spiking network) with particular enphasys on attention-based models
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receptor diversity and specificity, predictive modeling of immune responses, structure-based immune protein design, systems-level simulation of immune networks, and machine learning for precision