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artificielle (IA) (CPU, GPU, accélérateurs d'IA, etc.) nécessitent une puissance élevée et des réseaux de distribution d'énergie (PDN) optimisés pour améliorer l'efficacité en puissance et préserver son
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energy storage within HVDC networks is a promising response to these challenges. Such integration allows HVDC systems to deliver a broad range of new grid services, including fast frequency response
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, economic, secure and socially just energy supply system based on renewable energy sources. We contribute to this through our main research areas of energy provision, energy distribution, energy storage and
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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medicine. The laboratory benefits from a large network of national and international collaborations and access to cutting-edge technological platforms, including advanced microscopy, high-throughput
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interested in exploring how firms can collectively contribute to decentralized, sustainable energy systems? Are you curious about how digital platforms connect businesses with distributed energy resources
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. While there are promising applications in both academic and industrial settings, several important open challenges remain. These include out-of-distribution performance, low-resource settings, reliability
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remain. These include out-of-distribution performance, low-resource settings, reliability, dynamic settings, and transparency. Tasks and responsibilities You will: Conduct research within the scope
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different environmental compartments. Our mission is to understand and predict environmental distributions of health-impacting trace elements to prevent health hazards, today and in the future. Project
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to the Netherlands for a PhD within a joint doctoral network? If so, we invite you to apply for this PhD position. We are seeking a PhD candidate for the joint doctoral training programme on Privacy for Smart Speech