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• Support in maintenance of the Platynereis culture • Dissemination of results in oral and written form. • Activities • Calcium imaging, data acquisition and analysis • Opto/Chemogenetics at cellular and
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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17 Sep 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Political sciences Economics Juridical sciences Geography Anthropology Researcher
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics Researcher
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of researchers. The end of data taking being scheduled for January 2027, the student will make a significant contribution into data analysis toward the publication of the final results. The work will
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, electrical transport measurements will be performed to determine carrier properties in the structures. Required Skills: Required Skills:Semiconductor and solid-state physics Data analysis and problem solving
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Research Agency (ANR) as part of the HIPOBAT project of the PEPR Batteries (reference ANR-23-PEBA-0008). More information on the PEPR website: www.pepr-batteries.fr . Where to apply Website https
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. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms) and non
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LanguagesFRENCHLevelBasic Research FieldChemistryYears of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 26 days ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and