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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
periodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real
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the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively
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. [2] M. Giesel, T. Hansen, and K. R. Gegenfurtner, “The discrimination of chromatic textures,” Journal of Vision, 2009. [3] R. Huertas, M. Melgosa, and E. Hita, “Influence of random-dot textures
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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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such as chemical analyses, microbial culturing, isotope tracing, or data modeling is highly desirable. • Proficiency in data analysis tools (e.g., Python, R, or MATLAB) and excellent command of English
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Recommended education: - PhD in economics Required skills: - Discrete choice models - Proficiency in statistical software (Stata, R, or Python) Website for additional job details https://emploi.cnrs.fr/Offres
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…) to characterize the materials. MICHELIN places innovation at the heart of its strategy, with a 2020 R&D budget of nearly €646 million, 10700 active patents, and 6000 people working in the field, including 3400
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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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documentation and articles); • Proficiency in programming languages and data processing (Python, R, Matlab, etc.), and use of office automation tools. Specific Requirements • Interpersonal skills; • Ability
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English, econometric studies, programming in R or Python, writing in LaTeX, and 2 at least of: mastering difference-in-differences and regression discontinuity design methods and their application, topic