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well as with leading international partners, spanning cement chemistry, materials science, microbiology, and electrochemical energy systems. This setting offers a unique opportunity to explore emerging
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Solution project "ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to explore AI-driven solutions for onboard spectrum monitoring, capable of autonomously detecting
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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coding strategies, entanglement management, and adaptive quantum networking protocols. The research will explore the interaction between classical control communication and quantum information transfer
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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. The work will explore adaptive MAC designs that leverage waveform structure and context information to improve user management, access efficiency, and robustness. A key aspect of the research is the joint