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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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Thermoacoustics of net-zero swirl stabilised premixed hydrogen combustors Award Summary 100% fees covered for Home students, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
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to cascading hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new
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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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and utility systems necessary for their operation (e.g., electrical, water, telecom., transport networks); perform an integrated multi-hazard fragility and vulnerability analysis of CI using different
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(to help achieve net zero goals) can impact on the indoor environment and have positive or negative impacts on human health. For example, action improving insulation may increase thermal comfort within a
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Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable
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candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR, worker rights frameworks) supports and/or restricts AI adoption in the uptake of AI in the process of
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: 01.10.2025 Application deadline: 03.09.2025 Tasks Execution of experimental work in a mouse model of cortical multiple sclerosis Application of in vivo imaging and quantitative analysis methods Investigation