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intervention systems; digital healthcare systems; real-time physiological monitoring technologies; multimodal data integration and analysis for imaging and sensing. Human Centered Models and Systems: human stem
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turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as well as the consolidation and
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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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training network and aims to apply mathematical modelling methods to study adrenal gland steroid biosynthesis dynamics and their spatial relationship with adrenal tumours found in Primary aldosteronism (PA
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learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly with
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Microwave Spectroscopy system. This technology will unlock an unprecedented combination of ultra-high bandwidth and adaptable spatial resolution, allowing for the simultaneous, multiscale measurement
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therapy. This project will use state-of-the-art single-cell and spatial transcriptomics to characterize ependymoma and its immune TME. You will perform these experiments and analyze the composition
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute