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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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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
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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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collaboration with a major cosmetics manufacturer, and provide ample opportunity for research stays at the manufacturer's R&D facilities in Paris. With more than 750 researchers, the FEMTO-ST Institute (CNRS
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of stochastic systems, and possibly reinforcement learning / POMDPs; ● Has, or will soon acquire, skills in Python or R (or equivalent); ● Is willing and able to move between ENS in the Paris region and SETE in
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Compétences approfondies de programmation en R ou Python Une première expérience d'analyse de données génomiques ou en biostatistique est recommandée. Forte appétence pour le travail multidisciplinaire et en
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/nanotechnologies, microelectronics or materials. • English language (B2 to C1). • Experience (projects or internships) linked with R&D and physical measurements will be welcome. Operational skills : • Listening
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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
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involved in the performative dimensions of gastronomy from the late 19th century to the present day. Expected results: R.1: a curated digital resource of menus and artifacts from the 19th to the 21st
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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis