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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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create transparency and coordination across many stakeholders. You will work in a strong multi-actor consortium with University of Twente (UT), Tilburg University, Saxion, regional networks (e.g
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an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants. The successful applicant
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whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
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penumbra — the zone of partially injured but potentially recoverable neurons surrounding a brain infarct. Using advanced in-vitro models, we study how metabolic stress affects neuronal network function and
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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: RNPUs, Nature 577, 341-345, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Where to apply Website https
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-scale open-source AI software projects, such as ASReview. Engage in interdisciplinary and transdisciplinary activities, including citizen science and co-design initiatives. Where to apply Website https
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before harm occurs; and validating these approaches against community and industry benchmarks. The work combines network measurements, data science, and systems security, with an emphasis
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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 the Dutch construction sector. Where