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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
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, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
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. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
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