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psychometrics is mandatory Technical skills : Strong knowledge of latent variable models Good skills in simulation studies Proficiency in Statistical programming in R or Stata Excellent written and verbal
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, continuing the work carried out by the team on the synthesis of labeled organic molecules (arenes, alkanes, ethers).[1-6] 1. Lassalle, S.; Jabbour, R.; Schiltz, P.; Berruyer, P.; Todorova, T. K.; Veyre, L
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experience with in vivo cancer murine models (breast cancer and/or lung cancer) and flow cytometry Desirable: Previous experience in transcriptomic analysis (scRNAseq), scripting languages (R) and Seurat
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EEG/ERP and/or fMRI - Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., mixed models in R) Desired skills: - Specialization in one or more research fields
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to volcanic or heterogeneous environments. He/she must be proficient in numerical modeling tools (MODFLOW, FEFLOW, or equivalent) and have good skills in scientific programming (Python, MATLAB, R). Knowledge in
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together twelve partners, academic laboratories, R&D organisations and companies. Its aim is to combine energy transition and digital transition to develop innovative digital tools that improve technologies
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therefore be involved in R&D related to TES4DM low-voltage cryogenic detector technology, including its development, assembly, and operation on IP2I's CRYORED cryogenic platform, and will be required to adapt
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assays Drug Discovery Dose-response assays, IC50 Data Analysis Proficiency in statistics and statistical software (GraphPad, R, Python) Candidate Profile Candidates having several of the following
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LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in ecological, marine or computer science with skills in python and/or R, QGIS, database and
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direct interaction with Bruker’s proteomics specialists and R&D teams. The successful candidate will gain valuable experience at the interface of academic and industry-driven proteomics innovation. Recent