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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
6 Mar 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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Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in international collaborative projects Experience with laboratory
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, with a focus on solid tumors such as breast cancer and lung cancer. For more information and to apply, send a motivation letter, CV and contact information for 2 references to Lucie Peduto (lucie.peduto
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FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in (nano)materials or chemistry. - Previous experience in synthesizing hollow fiber
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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. The project emphasizes spectroscopic galaxy surveys—in particular the analysis of data from the ESA Euclid mission—and 21-cm intensity mapping, especially from the SKA Observatory (SKAO). Our goal is to
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Eligibility criteria Applicants must hold a PhD in instrumentation for ionizing particle detection or a related field
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9 Feb 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
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development of existing image and data analysis tools -performance characterization using various types of samples (calibration samples, model systems, biological samples and/or nanomaterials) -participation in