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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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. - Integration of multi-omics datasets (genomics, transcriptomics, proteomics). - Statistical modeling and survival analysis. - Collaboration with AI specialists for histology-based prediction models
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/statistics platform. LanguagesENGLISH Research FieldMedical sciences » Cancer research Additional Information Benefits Mutuelle santé collective obligatoire avec participation de l’employeur à hauteur de 50
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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limited to) Biology (Ecology), Agriculture and Forestry, Environmental Science or Conservation Science; • Proficiency in R; • Proven skills (e.g. publications) in statistical modelling (e.g. use of R
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Location: Paris, Ile-de-France 75 005, France [map ] Subject Areas: Statistical Physics / Statistical Physics Theoretical Physics / Mathematical physics , Conformal Field Theory , Quantum Field Theory
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. Good experience in data analysis, knowledge of statistical techniques for high energy physics ex-periments, and an interest in detector development are required. Previous experience with the analysis
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, statistical and case of study of switchbacks. Comparaisons with synthetic observations from the dedicated simulations of the JET2SB project. 2) Collaboration with the local LPC2E team, as well as the full
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a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and