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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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such as transnational flows and mobilities, structural inequalities and changing power relations. We are a close-knit community that values social interaction and peer support as much as academic
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ocular disorders. The PhD projects are hosted in labs across Europe. an overview of the participating researchers, their research interests and the PhD project topics can be found at https://indibrain.eu
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inner membrane, T7SSs assemble a large complex, responsible for translocating large, folded protein substrates. We have recently isolated and solved the structure of this fragile inner membrane assembly
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at the University of Twente is looking for two PhD candidates to join the research team of Dr. Gaurav Rattan. The positions are funded by the NWO VIDI project Learning on Graphs: Symmetry Meets Structure (LOGSMS
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for patient-specific shoulder implants with architected internal structures tailored to mechanical needs. Conventional implants are typically designed with generic geometries and stiffness distributions, which
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friction governs nonlinear vibration and damping in assembled structures. Job description Many high-performance structures, from spacecraft to offshore structures, rely on assembled components
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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Within this PhD project, you will explore the power and versatility of structural (mixed) integer programs. We focus on integer programs with well-behaved constrained matrices whose structure can be
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Infrastructure? No Offer Description Join the ERC-funded GeoTrAnsQData project and explore hybrid AI approaches to better understand, structure and formalise geo-analytical questions. This helps shape the future