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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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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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should have completed a PhD in Economics, possess solid theoretical skills and be used to present their work at international conferences. Website for additional job details https://emploi.cnrs.fr/Offres
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these protocols - Analyze and publish the results The LCAR is a joint research unit (UMR) of the CNRS and the University of Toulouse. The postdoctoral researcher will work on a daily basis with researchers and PhD
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of Research Experience1 - 4 Additional Information Eligibility criteria Applicants should have a PhD in Atmospheric and Oceanic Sciences, effective oral and written communication skills, and an interest air-sea
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FieldGeosciencesYears of Research ExperienceNone Research FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in paleoecology sedimentary DNA, e-DNA. • Strong
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Required - PhD in plant ecology, spatial ecology, landscape ecology, vegetation science, or related fields - fluent in written and spoken English - demonstrated facility with spatial and statistical analyses
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the time of their application, a PhD degree in geology (including (bio)geochemistry, mineralogy/crystallography or experimental/isotope geochemistry/petrology), chemistry, physics or materials sciences. We
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& Complexity group - Participation in the research seminar and group discussions - Supervising interns and collaborating with PhD students The team has expertise in quantum algorithms and quantum complexity
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Eligibility criteria You hold a PhD in chemistry, with a specialization in materials chemistry, and possess excellent knowledge in the synthesis of new organic materials as well as their characterization using