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of pedology and/or hydrology is a plus - Strong skills in ecological data statistical analysis Specific Requirements PhD degree of less than 3 years. LanguagesENGLISHLevelGood LanguagesFRENCHLevelGood
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CNRS and University of Rouen Normandy | Mont Saint Aignan, Haute Normandie | France | about 6 hours ago
the formation of radical intermediates. The postdoctoral fellow will be in charge of the experimental work, analysis (NMR, HRMS, HPLC…), the writing of scientific reports, and will supervise in the lab area PhD
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to work both in a team and independently. • Ability to supervise interns and PhD students. • Scientific article analysis, scientific monitoring, and writing of scientific research articles. Website
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, analysis (NMR, HRMS, HPLC…), the writing of scientific reports, and will supervise in the lab area PhD students and will take benefit from an international environment. A previous experience in
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elements of the chain (transmitter, data centre, core and access network, terminal). This model will be based on a combination of data from the literature, life cycle analysis databases and assessments
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 4 days ago
4 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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with the main field of application being topological photonics based on microcavities. Analytical calculations Numerical calculations Analysis of experimental data The work will be carried out
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comparative and population genomics - expertise in epidemiological data analysis - ability to supervise and manage a research group - interest in collaborative work, ability to interact across various
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Work Package 4 that aims to integrate heterogeneous data acquired through Work-packages 1 to 3 and decipher genome–phenome relationships, working in close collaboration with a PhD student working on