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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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, developing a new contrail modelling framework which can represent multiple different representations of contrail physics, radiative transfer, and cloud feedbacks through either offline or fully coupled
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
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coding systems and ontologies, ensuring compliance with FAIR principles. - AI model innovation: select, adapt, and refine large language models (local, cluster, or cloud-based) and frameworks (Ollama
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, Robustness, and Creativity in AI Why does an AI think something is a face —or not? This PhD project investigates pareidolia—the brain’s tendency to perceive faces in non-face visuals such as clouds, sockets
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containerised cultivation and processing plant for a broad range of microorganisms with a focus on mycelium. The system is fully automated; the SCADA system is connected to the cloud and provides performance data