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of nonlinear PDEs or the development of new solver- or coupling-methods incl. their convergence analysis, but also modeling and simulation aspects across a wide range of fields - from biomechanics and geophysics
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modelling (e.g., machine learning), experience in working with large data sets Good programming skills Excellent communication and interpersonal skills Very good command of English Experience in writing
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. We invite applications for a Postdoctoral Position (m/f/d) in rotating convection and 2D turbulence. Rotating convection and 2D
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of neutrinos Significant experience in hardware-related data-analysis and detector commissioning Excellent academic track-record as shown with relevant publications Excellent team-player abilities Good command
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to advance beyond classical segmentation networks toward multimodal, prompt-based, and foundation-model approaches for clinically deployable medical AI. Your Responsibilities Develop and evaluate novel
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and adaptation modelling system. You will develop approaches in four case study areas (Rhine, Mekong, Pungwe, Upper Mississippi) and subsequently upscale to the global scale. You have the interest and
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. Experience in working with animal models, cell isolations from tissues (lung, intestine), human tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We
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Your Tasks Lead analysis of single-cell and pertubation datasets across glioma patien derived models and tumor tissue Integrative analysis of multiomics and pertubation datasets Drive projects
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with the nation-wide research priority area “LaSTing : Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology,” which is funded by
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. The postdoc will collaborate closely with modelers to integrate observations into predictive tools, and with social scientists to help place MRV findings within broader governance and stakeholder contexts