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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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6 Feb 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Distributed, Embedded and
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of cyber-physical systems is available from March 15 th or as soon as possible thereafter. The employment will be for a period of 12-24 months. The candidate will be part of the section Distributed, Embedded
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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for next-generation nature monitoring. Collaborate closely with ongoing initiatives in remote sensing and with the National Topic Centre for Terrestrial Habitats and Species, contributing to the development
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode workflows. Research
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in the general work carried out by the research group, including discussions and planning of strategies and projects, drafting research grant proposals, etc. You will also co-supervise students and
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career in R&D or academia? Then we have multiple opportunities! We invite applications for multiple 2-year Postdoc positions that will contribute to the development of a new generation of embedded
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for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be