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) of the governing dynamical equations and the pathways connecting them. The focus will be on the geometry of high-dimensional random landscapes: identifying atypical, yet not rare, clusters
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-VIS-NIR). Experience in hyperspectral data processing (HMSPL, μXRF, μXAS) and statistical analysis (clustering, machine learning) is preferred. Familiarity with fossilization processes and taphonomic
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cluster. Access to Jean Zay is also possible. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8190-SARSAF-005/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent
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atmospheric models on clusters and supercomputers. Experience with code parallelization, MPI (Message Passing Interface), and performance optimization for large-scale simulations using models such as WRF-Chem
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Within the **prairie-psai** cluster
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, K-means clustering, random forest trees, hypothesis testing, etc.) - Python programming and the Unix environment - Ability to communicate results in French and English (writing scientific articles and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Duties • Study the nucleation and growth mechanisms of alumina clusters