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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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materials chemistry group led by Tenure-Track Assistant Professor, Kasper Tolborg, within the Section of Disordered Materials, which offers state-of-the-art computational and experimental infrastructure and
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join the Grand Solution project 'DRONES: Drone-Obtained Electromagnetic Signatures' to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture characterization
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research, and problem-oriented approaches to real-world sustainability challenges. About the team The position is hosted by a newly established interdisciplinary research team led by Dr. Qi Luo, Tenure Track
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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metabolomics. Experience with biobank coordination, including ethical approvals and project management. A track record of high-quality publications and international collaborations, including drafting scientific