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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes, and interactions of terrestrial and aquatic ecosystems
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approximately 10–15% of women of reproductive age. The project aims to integrate fragmented biomedical evidence into structured resources and predictive models that support non-animal approaches to chemical
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to more than one; state your preference in your motivation letter. 1. Neurodevelopmental proteomics You will map the molecular circuitry of human neurodevelopment using advanced 2D and 3D cell models together
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for dynamic FR3 programmable wireless environments. The work will focus on theoretical modeling, algorithm design, simulations, experimental validation, and testbed-oriented research for 6G wireless systems
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, and simple: key goals for future 6G networks and the Internet of Things. Using mathematical modeling, computer simulations, and practical experiments with software-defined radios, the research will
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of business models, the data economy, ecosystems, various business support platforms and platform technologies. Depending on the applicant’s profile, the open position may be located in any of these three focus
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. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular data, causal representation learning, in
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approaches to large-scale biomedical data. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular
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. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular data, causal representation learning, in