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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
dynamics data and advanced graph-based deep learning models to decode long-range communication pathways within macromolecular complexes. The PhD candidate will play a central role in this effort by
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PhD Research Position: Agent-Driven Systems Thinking for Transport Decarbonisation Grade and Salary: Grade 6 Remuneration consists of a PhD stipend of £16,353 per annum (0.75 of the standard UKRI
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly publish solid contributions at the best machine learning conferences. STIMA is
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY26 minimum is $79, 056. Appointing a postdoctoral scholar with expertise in causal inference, machine learning, and
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2 Apr 2026 Job Information Organisation/Company University of Galway Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological