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21 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire Physique Nucléaire et Hautes Energies Research Field Physics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 11 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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spectrographs with various spectral resolutions, operating from 0.5 to 28 µm. Our group has developed the Bayesian modeling tool FORMOSA (Petrus et al. 2023). It allows the inference of low-resolution (R = λ/Δλ
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
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group is associated with three industrial partners for a R&I project named BatteNA+. Our goal is to replace the lithium-ion battery of an electric bus with a sodium-ion batteries developed in France. To
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of donor/recipient (D/R) epitope compatibility using two methods. HLA-Epicheck does not allow quantification of structural differences between two epitopes. The first option is to use the descriptors
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.). Scientific skills include proficiency in tools for studying proteomic and transcriptomic data, as well as the statistical tools required for their interpretation (R and packages). Additional comments Desired
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | about 10 hours ago
urban environments Proficiency in statistical and computational techniques for data collection and processing Applied knowledge of R or Python programming languages In-depth knowledge of data production
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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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and/or lung cancer) and flow cytometry Desirable : Previous experience in transcriptomic analysis (scRNAseq), scripting languages (R) and Seurat. Would be a plus : Previous experience in epigenetic
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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