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at the participating laboratories, including platforms for NMR, X-ray crystallography, cryo-EM, and light microscopy; the Genome Centre with next-generation sequencing technology; and the Proteome Centre Tübingen
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, atheroprogression and atherothrombosis as the pathological sequence underlying coronary artery disease, in order to identify and verify novel targets for treating atherosclerosis. With this aim in mind, our CRC
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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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supply options like storage (electricity, …), their value with respect to the system, residential and industrial suppliers, their spatial and temporal dimension, its alignment with grid constraints as
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series, and multiple retreats and programming events that collectively enable robust interactions among basic, translational, and clinical immunologists. The Department of Immunology is ranked 7th in
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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modelling tools (CST or HFSS) - Fabricate and test for optimal electromagnetic performance, such as bandwidth, return loss, insertion loss and power-handling. - Develop and characterize new bonding/alignment
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effects, compound hazards, and systemic interdependencies, adapting to evolving EU design codes. More specific goals are to: re-view existing hazard methods and codes for single and multiple hazards (e.g
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
a standards-aligned semantic framework to ensure interoperability, reusability, and scalability across systems and sectors •Model system degradation over time by developing temporal knowledge graphs