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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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simple, affordable and scalable predictive system can help SMEs identify this drift by making use of the production data they already collect. The project explores an approach that combines lightweight AI
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 1 day ago
Job Code: 15-2026 Job Offer from September 24, 2026 The Max Planck Institute for Nuclear Physics is one of 85 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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covering discovery of new therapeutic mechanisms for complex diseases, early detection of pathologies, and comprehensive prevalence and prediction of pathologies, all based on the mechanistical understanding
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 22 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0006-NPP-NOV26-KSC-Interdisc How to Apply All applications must be submitted in Zintellect Please visit the NASA
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prediction of regional climate and extremes using hybrid physics-AI models. About the project/work tasks There is a growing need for subseasonal-to-seasonal (S2S; 2 weeks to 12 months) predictions of regional
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0386 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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, social learning, intrinsic activity, and predictive coding. We are now seeking highly motivated and enthusiastic postdoctoral fellows (project researchers) or project faculty members to work under the
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 10 days ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate