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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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-physical energy systems. About the project AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and
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to the decoherence and volatility. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics
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quantum memories exhibit long coherence times and high-fidelity local control, photons remain the most practical carriers for communication. The transduction step that maps quantum states from physical
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Application process
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to contact us. You will find contact persons at the bottom of the jobpost. The recruitment process will include an online first-round interview (April 30th and May 1st, 2026), during which shortlisted
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sodium based glass-ceramic electrolytes for solid-state batteries. The project aims to deliver safer, more affordable batteries by focusing on sodium oxide materials that are chemically robust and easier