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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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university. We are willing to support applications related to our research on complex systems, network and data science, agent-based models, statistical physics, or computational and mathematical modelling
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– Revisioning Public Interest Media – is a four-year Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated to reimagining how Public Interest Media can remain relevant, sustainable, and impactful in a
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive electricity consumers, they could act as active participants in integrated
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of the Horizon Europe Eu Marie Curie Network MetaExplore (www.metaexplore.eu ) and involves collaborations with various EU and UK groups on harnessing environmental sources for novel biocatalysts
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disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational
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. This position is a part of the TRANSCEND doctoral network, which comprises thirteen PhD projects (https://biomed.au.dk/TRANSCEND-network/ ). TRANSCEND is designed to develop a transdisciplinary approach