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-Curie doctoral network funded by the European Commission under the Horizon Europe. GENIUS pioneers a comprehensive approach to address the biggest global challenge the energy sector is facing
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a Marie Sklodowska-Curie doctoral network funded by the European Commission under the Horizon Europe. GENIUS pioneers a comprehensive approach to address the biggest global challenge the energy sector
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
doctoral network funded by the European Commission under the Horizon Europe. GENIUS pioneers a comprehensive approach to address the biggest global challenge the energy sector is facing: the transition
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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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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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related to staff position within a Research Infrastructure? No Offer Description QSP is seeking for a doctoral researcher who will be part of the CHIRALNANOMAT Doctoral Network (MSCA – Horizon Europe
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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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models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities. The position includes implementing a
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biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform