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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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. - Designing and conductiong new experiments in order to validate the models. - Interpreting measurements and performing numerical simulations. - Comparing experimental data and numerical results to provide new
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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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18 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Chimie et Procédés pour l'Energie, l'Environnement et la Santé Research Field Chemistry Physics Researcher Profile First
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an experimental test bench for the thermo-hydraulic characterisation of the injector; · Conducting experimental campaigns and validating numerical models against experimental data; · Analysing results and
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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Position Description The Institut de Physique Théorique (IPhT), CEA Saclay, invites applications for several postdoctoral research positions. The positions are supported by the ANR projects SEFT