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Representational Similarity Analysis, and models development. - Fluent in open-source code development with Git. - Scientific rigor, organizational skills, ability to prioritize and restructure the hierarchy
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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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geodetic observations. * Writing and documenting simulation codes for for open distribution. * Communicating the results at international conferences and publishing them in international, open-access
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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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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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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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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