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Solution project " ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to develop signal processing algorithms that enable autonomous detection, classification, and filtering
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within research and education in the general area of computer science, including curiosity-driven research and targeted research in collaboration with industrial partners, traditional university education
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the following areas: Air and surface sampling of fungi in buildings and on materials Basic statistical analysis knowledge (R or similar) and multivariate statistical methods Cross-disciplinary research
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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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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