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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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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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neuronal network function and how recovery can be enhanced, with the eventual goal to translate findings to the clinic. We are currently developing a stable, long-term, high-throughput experimental system
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occurs; and validating these approaches against community and industry benchmarks. The work combines network measurements, data science, and systems security, with an emphasis on reproducibility and real
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performances the in-capsule organoids formation. Moreover, you will pioneer the annealing of the organoid-forming microgels into large microporous living materials that contain perfusable capillary-like networks
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Saxion and Hanze Universities of Applied Science, as well as supervisors from the Construction Management and Engineering cluster at the University of Twente, and a strong network of industry partners in