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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0348-NPP-NOV26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 14 days ago
Job Code: 174 Job Offer from September 09, 2026 The Max Planck Institute of Animal Behavior at its sites in Konstanz and Radolfzell offers an international, interdisciplinary, and cooperative
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body of work on the many characteristics associated with fertility. Despite this, we are poorly able to predict individual-level fertility and forecast future levels of fertility. The postdoctoral
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0345-NPP-NOV26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0322 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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where possible This post is to work on the Horizon funded project SaliNova: Advancing Europe’s Capacity to Monitor, Predict and Manage Soil Salinization for Adaptation and Mitigation with Novel Data and
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of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns, predict disease progression and treatment response, and support personalised
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-residue contacts. Leverage state-of-the-art protein structure prediction tools, including AlphaFold3, ESMFold, and ESM3, to study antigen evolution and guide protein design. Work in a collaborative group