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analytical activities. Activity 1, Conducting experimental research and data analysis in the field of astrochemistry: Setting up and monitoring experimental protocols; Analyzing and interpreting scientific
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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• PhD in environmental sciences, chemistry, biogeochemistry, hydrology, or a related field • Experience in environmental contaminant analysis • Strong data analysis and interpretation skills Preferred
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biological data from imaging and to support individualized dosimetry in theragnostic protocols, - Developing and applying standardized image analysis pipelines and translational impact to ensure reproducible
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4 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Combustion, Aérothermique, Réactivité et Environnement Research Field Engineering Chemistry Physics Researcher Profile
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integrative analyses, the team also seeks to decipher the biological mechanisms underlying relapse and therapeutic resistance. The researcher will actively contribute to data analysis, synthesis of results, and
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of oxide thin films or ferroelectric materials. Proficiency in electrical transport measurements and data analysis. Experience in nanofabrication and cleanroom processes is highly desirable. Website
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of murine melanoma cells in isogenic immunocompetent mice. o Assess tumor growth and collect tumor samples for histological and molecular analysis. o Analyze high-throughput transcriptomic and genomic data. o
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
16 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Archive, U.S. Forest Inventory and Analysis program, sPlotOpen) along with geospatial soil and climate data to apply resource colimitation theory in the refinement of correlative-based species distribution