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-modal foundation models, including SciFM architectures coupled to knowledge graphs, GPU-accelerated PyTorch training pipelines, distributed training on HPC systems, and tools for training diagnostics and
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; the advent of the Solar System internet and the associated challenges in network management and operations concepts, for example, new forms of user-machine interfaces, such as AR/VR; new ways to leverage
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, allowing demand flexibility services, distributed Energy Resources (DER), efficient operation, relevant savings in network investments, and the participation of consumers. Europe requires large investments
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to ESA’s strategy; a wide network of relationships and collaboration with top academics, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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Ultracold Atom Quantum Sensing Testbed , which will allow you to contribute to many interesting projects related to clocks, such as creating a European optical time and frequency distribution network
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out spatially distributed measurements with for example shallow-depth geo-radar. You will be based at the department of Geoscience & Engineering (GSE) within the faculty of Civil Engineering and