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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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. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property is the bandgap, a range in which waves
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of intercontinental interactions, multilingual practices, and the broader mechanisms of power structures through the lens of language. The PhD position This doctoral research project will examine how communicative
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new approach, Tomographic Volumetric Additive Manufacturing (TVAM), can fabricate complex 3D objects in a single step without support structures. However, industrial adoption is currently limited by
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. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing
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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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force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
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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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-edge computational infrastructure, and structured methodological support will foster impactful research. The ADORE programme encourages cross-disciplinary learning, international collaboration, and
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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