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- NTNU Norwegian University of Science and Technology
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the design of a scalable, interoperable, and resilient quantum internet architecture and protocol stack for real-world operation in hybrid quantum–classical networks across intra- and inter-domain settings
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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operation in hybrid quantum–classical networks across intra- and inter-domain settings. The candidate will study architectural models, including the placement and roles of quantum repeaters, memories, and
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Resilience Assurance for 5G/6G Networks Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic
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relevant topic in machine learning, embedded systems, and edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with
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background in neurophysiology / imaging and animal behavior to join the Whitlock group. The position is financed internally by NTNU and is part of a new line of work investigating the neural population coding
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. 2) the development of computational models to enquire about the mechanisms that enable heterogeneous representations in neural networks. These models will be informed by experimental data. Duties
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ambitious research environment with opportunities to develop independent research questions at the forefront of modern science Access to a strong network of top-level national and international collaborators
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edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with accelerator performance modelling Strong academic writing