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machine learning methods for detecting, classifying, and identifying wireless anomalies in real-world radio environments. You will design and experiment with AI-driven approaches for spectrum analysis, work
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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are available to start at short notice will be given priority. Who we are You will join the Department of Electronic Systems at Aalborg University, a leading European environment for research in wireless
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Tissues for Urethral Regeneration and Translation.” https://www.strong-ur.eu/ . The successful candidate will have substantial hands-on experience with isolation of mesenchymal stem cells and the biological
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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researchers. Start of employment: June 1st, 2026, or as soon as possible thereafter. We offer an exciting postdoc position in a dynamic, informal, high-performing environment with dedicated, friendly colleagues
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has a very international environment, and English or Danish will be the working language. Aalborg, located in North Denmark, has been recognized as the happiest city in Europe based on the quality
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for publication and for developing an independent research agenda. Postdocs on the project will be part of an active and supportive research environment at Aalborg University, with close collaboration within