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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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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
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proteins in lipid droplets; (2) development and maintenance of the POP_MD code for non-equilibrium molecular dynamics simulations of biological systems. The successful candidate will be responsible
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environments. • Write and execute code in R, Python, GitHub etc., high-performance computing. • Evidence of ability to publish research results in international peer-reviewed journals. • Ability to organize and
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including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance computing. • Strong oral and written communication skills in English. • Ability to work
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charge‑transport properties. • Familiarity with codes such as Gaussian, VASP, CRYSTAL, Quantum ESPRESSO, or equivalent. • Ability to collaborate in an interdisciplinary environment and to communicate