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. This project explores using a Radio Digital Twin (RDT) to improve spectrum sensing and enable dynamic spectrum sharing for 6G and future networks. The RDT will model radio propagation and spectrum usage in a
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design scalable numerical methods for quantum master equations, implement high-performance simulations, and help build open-source tools for large-scale spin-system modeling. By improving our ability
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improvements. Develop neuromorphic sensory systems for biomedical and other application domains. Model and simulate neuromorphic devices, circuits and systems. Investigate spike-based signal processing and
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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inventorying forest biodiversity. Possible areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling
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also linked to a broad, interdisciplinary network of researchers in several European countries and in the United States, particularly within experimental studies using cell and animal models, with
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areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling new techniques for detecting and
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weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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studies using cell and animal models, with the aim of increasing knowledge of the biological mechanisms that may explain epidemiological associations observed in the SELMA study. Link to article Within