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Field
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Lifetime Prediction as per January 1st, 2026, or as soon as possible thereafter. The position is available for a period of two years and six months. In electronic engineering, Aalborg University is known
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worldwide. As part of the national CARDIO-LAMIN project, we are recruiting a Post-Doctoral Researcher whose work will focus on the identification of mechanistic biomarkers and risk prediction in
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
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Position Details Position Information Internal Posting? Posting Number SP005013P Position Title Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes Division/College
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17 Sep 2025 Job Information Organisation/Company Université de Caen Normandie Research Field Neurosciences Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France Application Deadline 18 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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of the recruitment and description of the project] * Background of the recruitment and description of the project The Prediction Science Research Team performs research to integrate the Simulation Science (3rd science
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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in playing a crucial part in the outcomes and deliverables of the multi-institutional NERC-funded...
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combined with modeling experiments or enhanced research in parameterization, AI is accelerating computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
accurately predicting risk, leveraging a framework of ensemble neural networks, CatBoost, and generative adversarial networks (GANs). The system’s predictive accuracy will then be rigorously validated against