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Universities of Tübingen and Hohenheim. The focus research unit brings together paleobiologists, earth scientists and earth system modelers who jointly aim to disentangle hydroclimate and enigmatic biodiversity
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methodologies. The focus is on across-organ imaging, ranging from non-human primate (NHP) models to human applications. You will contribute to the development and application of state-of-the-art MRI techniques
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gene-drug interactions. In order to decipher the genetic and gene-drug interactions, we use model systems like Drosophila, human cell cultures and patient-derived organoids in high-throughput screens
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 21 days ago
to work within one or more of the following areas: Disease Presence and Disease Impact Has disease presence become more or less predictive of disease impact? How do the timing and patterns of disease
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of hydrological connectivity of soil moisture using gridded soil moisture data sets and data-driven approaches (e.g., complex network methods) Develop models to predict gatekeeper locations and their relationship
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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gene-drug interactions. In order to decipher the genetic and gene-drug interactions, we use model systems like Drosophila, human cell cultures and patient-derived organoids in high-throughput screens
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). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self