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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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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 PhD position on Real-Time Detection of DNS Abuse, from Reactive to Proactive Key takeaways Malicious actors increasingly abuse the Domain Name System (DNS) by registering new domains
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Network Up on selection, the PhD Candidates will be part of a prestigious Marie Skłodowska-Curie Doctoral Network “MITIME: Migration and Time in Post-industrial Urban Europe” (see details here MITIME
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several critical requirements: first, the geometry and size of the vascular network should be representative of real (tumor) microvasculature, i.e. consisting of 3-dimensional networks of perfusable lumens
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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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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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occurred, exposing the limitations of current detection timelines. This reactive posture is worsened by a visibility gap in the DNS ecosystem. A lack of transparency in registration data, coupled with
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translational relevance. This PhD position is part of a Marie Skłodowska-Curie Doctoral Network (Horizon Europe). As a MSCA Doctoral Candidate, you will join a cohort of early-stage researchers across several
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social science / (social) network science to support the growing activities of the newly established Urban Impact Lab and of PLANET-NL, a collaborative inter-university research group. The positions