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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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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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of emissions of greenhouse gases. The reason for most of this uncertainty is that clouds are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation
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in this project. As successful candidate, you will investigate predisposition of trees to drought stress by long-term fertilization, both experimentally and with modelling. You will analyze long-term
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in subjects directly relevant to the specific specialization. It is a requirement that you have: Experience working with Agent-based Modeling and Simulation Experience working with Agent-based Modeling
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directly relevant to the specific specialization. It is a requirement that you have: Experience working with Agent-based Modeling and Simulation Experience working with Agent-based Modeling and Simulation
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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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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality
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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