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operational employment. This doctoral research will thus leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modelling systems as graphs
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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investigate strategies to enhance communication security, focusing on resilience against jamming and spoofing attacks. Students will work on designing secure architectures that ensure data integrity and system
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, and a strong interest in applying advanced physical and computational methods to real-world challenges in energy and environmental technologies. The research will focus on the nano-architecture
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Mathematics Economics (more...) Management Science & Engineering Computer Science and Electrical
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collaboratively on a multidisciplinary team. • Synthesize and manufacture unique design architectures comprised of coatings and bulk materials using a variety of manufacturing methods. Materials synthesis may
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design, synthesize, and characterize hydrogel-ceramic nanocomposites and architectured metamaterials for bone replacement. During the course of the project, you will work in a multidisciplinary team
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. This project will explore recent advancements in implicit neural representations, which have demonstrated effective neural network activations for computer vision. Our goal is to design new PINN architectures