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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 4 days ago
unified understanding of behavioral adaptation. The project aims to: Develop and analyze computational models that capture flexible, multi-timescale learning and adaptation in recurrent neural circuits
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dynamics in protected agriculture systems, encompassing moisture generation, transpiration, and dynamics in air and substrate. The postdoctoral researcher will develop and validate computational models
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Fermilab, Computational Science and Artificial Intelligence Directorate Position ID: FNAL-CSAID-PRAECACSAID [#31223, FERMIPRA2026] Position Title: Position Type: Postdoctoral Position Location
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
optimize therapeutic strategies, and (2) developing AI-powered analytical platforms to support patient-centered biomedical research. Current projects involve building computational frameworks for multi-omics
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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms
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cultured endothelial cells and mouse models, integrated multi-omics (e.g., bulk and single-cell RNA sequencing, metabolomics, proteomics), quantitative imaging and causal inference, and targeted gene
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Positions Country Czech Republic Application Deadline 15 Dec 2025 - 00:00 (Europe/Prague) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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technology that will make it possible to publish, combine, and preserve statistical models for physics experiments and beyond, and to make them usable across programming languages (C++, Python, and Julia
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21 Nov 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and