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with socio-environmental variables to assess climate impact and management scenarios - Contribute to co-designing decision-support tools with stakeholders - Participate in communication and outreach
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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sedimentology of microbial carbonates, applied to the characterization of paleoenvironments, or more broadly to surface processes. The candidate should have fieldwork experience and be familiar with optical
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(CNRS), a multidisciplinary public research organization under the supervision of the Ministry of Higher Education, Research, and Innovation, is one of the world's leading research institutions. To meet
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OGVs: Design, Predictions and Comparisons With Measurements”, 30th AIAA/CEAS Aeroacoustics Conference (2024), vol. 7, no 2, June 2024, doi: 10.2514/6.2024-3160. [4] G.. Margalida, et al. “Comparison and
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available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in vitro
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
. Math., 25(3):725-763, 2025. [4]L. Yemm. Design and analysis of the extended Hybrid High-Order method for the Poisson problem. Adv. Comput. Math., 48(4):Paper No. 45, 25, 2022. The post-doc will feature 3
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to guideline analysis, the construction of simulated trials, and the feasibility assessment in French databases (SNDS, CONSTANCES, EDS-APHP). Activities : Contribute to the design of simulated trials (target
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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs
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Requested start date: 01/10/2025 Contract type: Post Doctoral Education: Doctoral (PhD) Experience : 1-5 years You hold a doctoral degree (obtained less than 3 years ago) with a specialization in numerical