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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop new technologies, and drive
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. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity language. - While our current digital infrastructure relies on classical networks
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4 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science Mathematics » Algorithms Mathematics » Statistics Researcher Profile First
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: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
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: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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. Expected outcomes include: development of novel algorithms that significantly improve predictive accuracy for equipment failure; creation of scalable monitoring systems that reduce operational costs
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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the Department of Information Technology website . At the Division of Systems and Control , we develop and analyze both theory and concrete tools to design systems that learn, reason, and act in