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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
. Implementing existing machine learning approaches for reduced-order modeling, closure modeling, and flow prediction. Proposing new machine learning methods for turbulence modeling and control. Training and
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
field generation and to the atmospheric and interior dynamics of Jupiter and Saturn. Developing reduced models and scaling relations for turbulent transport and large-scale flow organization. Comparing
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on pay scale group 13 of the collective agreement for the public service of the German states (TV-L). Your role While much current AI research focuses on large generative models, our group aims to explore
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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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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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and communication work at our exhibition venues Museum Koenig Bonn and Museum der Natur Hamburg, we want to spread enthusiasm for nature and contribute with our research topics to current socio
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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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in childhood. You will investigate gene therapeutic lipid nanoparticles in cell culture models, brain slices and animal models. Your profile Degree in life sciences Expertise in basic molecular biology
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in childhood. You will investigate gene therapeutic lipid nanoparticles in cell culture models, brain slices and animal models. Your profile Degree in life sciences Expertise in basic molecular biology
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internationally visible and highly competitive research is focused on understanding the mechanisms of aging and associated age-related diseases. Scientists from over 40 countries are currently investigating