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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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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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current position is anchored in a laboratory lead by Associate Professor Thomas Holm Pedersen. The focus of the laboratory is neuromuscular disease and underlying disease mechanism. In particular, the work
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) that is based on redox-active organic building blocks. These building blocks enforce charge delocalization and give rise to exotic quantum states that relate to superconductivity. This project will focus
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environmental concern. PFAS contamination in drinking water and in wastewater demands permanent solutions for removal and destruction. Current methods have various disadvantages, especially related
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ecosystem models to evaluate if the respective hybrid MCL models are improving their performance. The overall project aim is on refining current aquatic ecosystem models by building models based on KGML
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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School as a whole. Applicants must submit: A concise statement of motivation for applying for the position (maximum two pages) describing the applicants previous research and how they see their own current