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AI architectures such as Transformers, large language models (LLMs), vision-language models, recurrent neural networks (RNNs), and related techniques. Mathematical maturity: A solid grasp of key
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internships at KU Leuven (Prof. Rodolphe Sepulchre) and at TU Delft (Prof. Charlotte Frenkel) Participate in yearly retreats organized by the doctoral network participants Support the dissemination of software
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), high-tech industries (HTI), and communities to cascade hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network
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. It is notable that this PhD scholarship is part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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). The candidate should have hands-on experience developing state-of-the-art machine learning models, particularly deep neural networks (experience with graph neural networks is highly valued). Their background
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? No Offer Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities
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Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards
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infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards, particularly NaTech (Natural
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for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become living examples of a highly skilled workforce delivering an equitable energy transition so