Sort by
Refine Your Search
-
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
-
, including when objects move between owners, places, or generations. Urban environments are rich with local caring practices of repair, reuse, hand-me downs, and micro circulation of objects in many scales
-
. 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
-
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
-
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
-
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
-
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
-
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
-
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