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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt
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model to accelerate exploration. 4. Analyze the impact of local decisions (scheduling, resource allocation, layout) on overall performance through simulations and probabilistic sensitivity analyses. 5
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material, including scheduling interviews, conducting them, transcribing, archiving, and making verbatim transcripts available to the team. Most interviews outside Île-de-France will be held online. Short
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administration), the bash language, and computer task schedulers for computing clusters. • Practical knowledge of the Python language and its scientific computing and data analysis libraries. Website
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devices and associated electronics, and support for experiments during the VAMOS experimental campaigns at GANIL -The analysis of data obtained during experiments scheduled during the VAMOS experimental
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for an engineer to lead the experimental measurements on these instruments. Additional one-off measurements, carried out at the synchrotron, may also be scheduled. *Perform X-ray photoemission measurements, as