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analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
components from the primary circuit of nuclear plants. In this project, we aim at devising polyhedral methods (that is, numerical methods that are applicable on general polyhedral meshes) for the simulation
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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focused on the electrochemical and structural properties of hybrid soft-matter electrolytic systems. The candidate should be proficient in and apply a wide range of experimental and analytical methods. In
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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and astrocytes Design and execute assays of intermediary metabolism (LC/GC methods; 13C tracing) and assess mitochondrial/cellular function using advanced imaging and molecular biology (incl. RNA‑seq
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for official statistics. The subjects of the research are: AI-assisted Bond Issuance, Causal Methods for Enhanced Market Intelligence, Automated Market Research Summaries via RAG-enabled AI. The successful