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-coupling at the Large Hadron Collider (LHC) with the ATLAS experiment, and in contributing to the R&D of a future detector for the Future Circular Collider electron-positron collider (FCC-ee). The candidate
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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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facility), result analysis (R-studio, with the help of the Bioinformat'IC facility), functional studies by cell culture, Aurora spectral cytometry, MSD analyte dosage, immunofluorescence, and modulating
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
enhanced performance, safety, and recyclability. R&D efforts are thus pursued in different areas, such as novel LIB materials and fabrication processes, or new rchitectures/technologies, such as all-solid
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
ecology and ecophysiology. Experience in tree physiology and climate change impacts is a plus. • Strong background in ecological modelling, programming and analytical skills in R and strongly recommended in
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- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
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processing and synthesizing different types of social and ecological data at various spatial scales, as well as large spatial datasets in R or GIS ■ Experience working with R ■ Experience in socio
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: - Economics of the firm (theoretical and applied); - Geographical economics (theoretical and applied); - Spatial econometrics (Geoda, Stata commands and R codes); - Panel data econometrics; - Cartography (QGIS
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team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8190-JEARAU-003/Default.aspx Work Location(s) Number
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pipelines and interfaces): Python (numpy, scipy, pandas, PyQt5, matplotlib, pympi.Elan, torch, etc.), R/RStudio, automatic speech processing systems (e.g., Nemo, MFA), and NLP packages (such as spaCy