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analysis, scientific computing, algebraic topology and non-linear analysis. The activities may include: The development of new polytopal numerical methods The conception of discrete complexes (de Rham and
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and optimize TD-RAS (time-dependent restricted-active-space) methods for many-body systems including positrons. - Carry out large-scale numerical simulations of photoionization and de-excitation
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observation of the geomagnetic field from space on the one hand, and of advanced numerical simulations of the geodynamo on the other hand, have opened new avenues for our understanding of the dynamics at play
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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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compare the simulated galaxies to JWST observations (in particular COSMOS-Web). - Creation of synthetic observations from the numerical simulations; - Scientific exploitation and interpretation
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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coordinated by Andra on nuclear waste management. The aim of the study carried out at IJCLab is to develop an innovative method for managing metallic nuclear waste in the form of scrap and powder
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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and