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planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision
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of Population Dynamics and Sustainable Well-Being, within the Department of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni. Digital and computational demography is a growing
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This position focuses on investigating vehicle-track-ground interaction dynamics with a particular emphasis on the critical speed induced by high-speed trains. The candidate will contribute
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to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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aiming at characterizing the taxonomic diversity of freshwater zooplankton communities of mountain lakes and link the dynamics of these communities to some restauration actions. The selected candidate will
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) and carbon (C) dynamics, biomass allocation and mobilization, and the mechanisms underlying nutrient deficiency responses. This position is part of a research initiative aiming to improve nutrient use
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investigating plant physiological responses to nutrient limitations, with a focus on phosphorus (P) and carbon (C) dynamics, biomass allocation and mobilization, and the mechanisms underlying nutrient deficiency
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global