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of colonial marine vertebrates (albatrosses, penguins, sea lions) reproduce in simple, structured communities, we are testing key hypotheses concerning the processes affecting the eco-epidemiological dynamics
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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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an agile co-design and co-development process across NumPEx and with the CSE application community. The Exa-DI and the Exa-SofT projects are looking for a highly motivated candidate with a strong background
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-state and transient regimes. The objective of this post-doctoral project is to develop an experimental prototype of a wall resulting from topological and/or shape optimization to minimize thermal losses
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applications from candidates with less than two years of postdoctoral experience after PhD defense. Required : PhD in computational biochemistry, biophysics or computational chemistry, and experience with
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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