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Field
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within water distribution systems. The research will investigate how network connectivity, sensor information, smart-meter data, operational conditions, and information from neighbouring areas can be
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Entanglement distribution is a foundational capability for quantum networks, enabling diverse quantum technologies including—but not limited to—quantum key distribution (QKD). QKD provides
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an international research and training network involving universities and practice partners across Europe. The PhD project at Aarhus University focuses on AI and workplace inclusion. AI is increasingly used in
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Biophysics, invites applicants for a PhD fellowship in the physics of biomolecular condensates and dynamical protein concentrations. The project is part of the research project PHOSCIL, financed by a Starting
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energy transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan
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to enable the demonstration of optically switched network for AI training computing clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on
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) / PhD Position (m/f/x) (100 %, salary plus allowances package according to the Marie Skłodowska-Curie Actions (MSCA) – Doctoral Networks rules) for a period of 3 years. Selection is based on suitability
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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
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Communication Technology (IIK) at NTNU has a vacancy for a PhD candidate in AI‑Driven & Self-healing MAC Control for Integrated Terrestrial-NTN 6G networks. The position is fully funded and will run for four
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(neural networks, model training and evaluation). Graph neural networks (GNN) or other current architectures (e.g. transformers). Causal inference or computer networks. Interpretability of AI (mechanistic