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groups such as Samí reindeer herders, environmental groups, and actors in the Norwegian energy sector The research questions, methodology, and project plan for the postdoc-project will be developed in
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entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models
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how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
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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
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning
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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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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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into practical solutions and communicate clearly across disciplines is essential. Personally, we value someone who is proactive, structured, and open to teamwork in a dynamic, international environment. You should
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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collaboration with leading Danish and European companies as well as international academic partners, ensuring a highly synergetic environment. The AI4OR group addresses complex real-world problems that demand