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, ubiquitous WiFi, and satellite channels can support robust perception and inference for distributed AI systems, and how delays, interference, and signal imperfections affect cognitive performance
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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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interplay between AI/ML learning/inference and communications; low-latency and time-constrained communication; satellite and non-terrestrial networking; experimental works on open-radio access network (O-RAN
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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your
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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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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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metabolomics. Experience with biobank coordination, including ethical approvals and project management. A track record of high-quality publications and international collaborations, including drafting scientific