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models by integrating insights from the cellular, thrombus, and organ levels? Would you like to be part of a prestigious doctoral network working to revolutionise personalized medicine by using cutting
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the cellular, thrombus, and organ levels? Would you like to be part of a prestigious doctoral network working to revolutionize personalized medicine by using cutting-edge in silico, in vitro, and in vivo
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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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). 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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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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Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of mathematical phylogenetics. Phylogenetic networks are directed acyclic graphs
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to a foreign university/institute from a Dutch university. Apply:Open till 6 May 2026 Application Form Regulations Academy Ter Meulen Grant 'Wireless pacemakers are as small as a vitamin pill, so they
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networks, Internet of Things sensors, and analytics platforms that gather data from those infrastructures, as well as telecommunications networks. To fully support the operation of cities, telecommunications