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solutions. To this end, the position combines hydro-economic modeling, remote sensing data, and scenario simulations. The PhD project entails extending an existing hydro-economic multi-agent model with high
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algorithms for large-scale or distributed training/Robustness, fairness, and personalization in multi-agent learning/Training efficiency and communication reduction/Distributed training of transformer models
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8 Oct 2025 Job Information Organisation/Company University Hospital Jena Department MSCA DN MenoBrain Research Field Biological sciences Neurosciences Medical sciences » Health sciences
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Kohlenforschung, Mülheim/Ruhr Ruhr University Bochum University Duisburg-Essen Teaching language English Languages The doctoral programme is conducted entirely in English. Full-time / part-time full-time Programme
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and