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Field
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, modular, and scalable edge-cloud platform that supports next-generation immersive applications and serves as a reference architecture for future 6G networks. Detailed description of the work duties, such as
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of surrogate model architectures for complex industrial systems: the generative component proposes models based on natural language specifications, while the symbolic component ensures compliance with system
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a week) is possible, as separately negotiated. Requirements Candidates must hold an internationally recognized PhD degree in software engineering, computer science, electrical engineering, or a
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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness
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advancing research and experimental work focused on software-defined networking (SDN), network function virtualization (NFV), and container-based network architectures. The ideal candidate will possess not
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beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include • Strong background in
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Agents and remote interfaces to support the MaaS Consumer to remotely monitor and control parameters provided by the MaaS Provider. Requirements The candidate must possess doctoral degree (PhD) in any
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infection models Microbiology assays, protein purification and biochemical assays MS-proteomics analyses and advanced microscopy Supervise master’s and/or PhD students to a certain extent Possibility to
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28 Oct 2025 Job Information Organisation/Company UNIVERSITY OF COPENHAGEN Research Field Architecture Arts Educational sciences History Philosophy Religious sciences Language sciences Literature
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facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and applies