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sanctions throughout their lives. This project proposes a paradigm shift: rather than viewing sanctions as standalone events, we aim to examine their effects across the life course. Are you interested in
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Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion-based methods for discrete sequences (e.g., DNA, RNA
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of
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types to behavior. In this particular project, you will investigate how the hippocampus forms spatial memories and how these processes are influenced by addictive substances. You will use state-of-the-art
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the bubble size and spatial distribution, making it possible to induce and study different flow regimes (from homogeneous to highly heterogeneous) and to observe the transitions between them. These controlled
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-intensive challenges that require coordinated advances from both data-science and electronics research. Wind turbines, especially prototype units—generate massive volumes of heterogeneous, high-frequency
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-economic growth paradigm and including its ever-increasing demand for electricity. In addition, comprehensive future large-scale landscape changes can be anticipated due to a broad range of needs and
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recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate disassembly, reuse, and remanufacturing