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Field
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nanoagents leads to a global heating until a steady state is reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal
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distribution, telecommunications, transportation of goods and people, Industry 4.0, medicine, intelligent buildings, etc.), but at the cost of a drastic increase in the complexity of the associated design
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
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scenario; Develop a novel self-calibrating, heterogeneous distributed platform capable of providing the necessary sensing, transport, compute and data aggregation capabilities on demand. Consider how partial
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for the PhD work will be response estimation based on remote distributed sensing of the wave field in an offshore wind park, in combination with metocean forecasting data. Improved sea-state and wave prediction
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Development, and Resilient Distributed and Agentic. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating and well-connected international
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
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and EU-funded research projects, and has extensive know-how in 5G/6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid. IQU is also active in many EU-funded