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knowledge of molecular biology techniques and protocols (PCR, qPCR, DD-PCR) • Strong skills in numerical data processing (proficiency in R) • Ability to integrate into a multidisciplinary team and participate
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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PyTorch. ✔️ You have a good knowledge of linear algebra and statistics. ✔️ You have good listening, analysis and synthesis skills, and are curious and open-minded. ✔️ You are adaptable, autonomous, rigorous
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inequality issues; •Excellent written and spoken English (knowledge of French is an asset). Additional Information Benefits Remuneration will be based on the candidate’s experience and qualifications
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in robotics and mechanical systems - Solid knowledge of continuum mechanics, deformable structures, and fluid mechanics - Proven experience in both theoretical/methodological developments and
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(particularly Deep Learning), will also make it possible to leverage the collected data to enrich knowledge of ovine behavior. The candidate will join a dynamic research group within the Image/Vision team
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21 Feb 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Neurosciences de Lyon Research Field Neurosciences Psychological sciences » Cognitive science Psychological
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aqueous/inorganic chemistry and thermodynamics. Knowledge of organic chemistry would be an advantage. Preference will be given to young candidates (with post-PhD experience 1-4 years), but exceptional more
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between language, cognition, and social practices, by analyzing both concrete language use and the underlying cognitive mechanisms. The successful candidate will be fully integrated into the project team
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in