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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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multiple brain areas in 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
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visibility and impact, and we can guide you toward becoming a top researcher and boosting your CV. Besides, during the PhD, you will have the opportunity to broaden your knowledge and network by joining
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participate in numerous networking activities of the INFLAMES project, including three dedicated early-career events. Several visits to the study region are foreseen to interact with local stakeholders
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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., Pioneering, Midpoint Brabant
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essential for addressing real-world problems. In particular, we will consider applications to neural network training, imaging, and the analysis and numerical solution of partial differential equations
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, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Information and application Are you interested in this position? Please
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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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with the supervisory team and in collaboration with the wider JUST ART community. This includes academic partners as well as a network of artists, cultural institutions and societal partners across