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of the Principal Scientist. 2°) Administrative tasks Around 10% to 15% of time will be devoted to administrative work: R&D Budget follow up, R&D reports, order of material and reagents, administrative follow up
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] Cross, E. J., Gibson, S. J., Jones, M. R., Pitchforth, D. J., Zhang, S., & Rogers, T. J. (2021). Physics-informed machine learning for structural health monitoring. Structural health monitoring based
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), 084004, 2025. [2] M. Bestehorn, D. Sharma, R. Borcia and S. Amiroudine, “Faraday instability of binary miscible/immiscible fluids with phase-field approach”, Phys. Rev. Fluids, 6, 064002, 2021. [3] A
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design, statistical and econometric analyses (STATA, R, or equivalent). Additional competence in qualitative methods: interviews, focus groups, thematic analysis, coding software (NVivo, ATLAS.ti
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experience in software like Julia and Python is desirable. 1.7 References 1. Nérot, B., Lamaison, N., Mabrouk, M.T., Bavière, R., Lacarrière, B., 2023, Optimization framework for evaluating urban thermal
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languages R or Java will be appreciated. Previous experience with phylogenetics will be an advantage but is not required. The candidate must have good communication skills (oral and written) in English, and
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | 14 days ago
equivalent in systems biology, computational biology, bioinformatics, or a similar field. The candidate should have good programming skills in Python or MATLAB, and ideally R. Good knowledge of biochemistry
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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., Zimmermann V., Dardalhon V., Campillo Poveda M., Turtoi E., Thirard S., Forichon L., Giordano A., Ciancia C., Homayed Z., Pannequin J., Britton C., Devaney E., McNeilly T. N., Berrard S., Turtoi A., Maizels R
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science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with