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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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chemistry in 2D PIC/MCC code and participate in the code validation by comparing simulation results with experimental data provided by COMHET collaborators working on iodine-fueled HETs. - Participate in
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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-tested code. * Coordinate cross-site integration within an ANR project consortium (Lyon – Marseille -Strasbourg) involving laminar MEG (Lyon), laminar NHP electrophysiology (Marseille), and computational
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-doctoral fellow will work within the framework of the project with the aim of both (1) performing Monte Carlo simulations (with established codes such as GEANT4, MCNP, FLUKA, or others) in order to project
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well as investigating the role of non-local correlations in the quantitative prediction of satellites positions and pole strengths. The successful candidate will participate in numerical research and scientific code
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fibers during mechanical loading. The successful candidate will develop digital code and/or theoretical models of the poroelastic behavior of collagen hydrogels. He/she will communicate on this work
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kinetic properties associated with a transformation, using artificial intelligence tools * performing molecular dynamics simulations * developing codes to analyze these simulations, using existing
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. ⁃ Interpret the results in light of geological observations and mechanical models of seafloor spreading across time scales. ⁃ Writing and documenting codes for catalog analysis for open distribution
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beamline at the ESRF. The analysis and interpretation of the acquired data will require solid proficiency with the various code bases developed on the beamline. The candidate will be trained in the use