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beetle as a model system, the candidate will test the hypothesis that sexual selection in females promotes the evolution of female reproductive traits. In addition, the project will take a broader
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potential. The aim of the PhD project is to discover new microproteins involved in the regulation of animal reproduction and fertility, using Drosophila as a model system. By integrating genetic, proteomic
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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such an ambitious goal, advancements in the following areas are required: (i) modeling, to have an accurate representation of the robot, of the environment, and of their interactions (e.g., exchange of forces); (ii
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biochemistry, structural biology, proteomics, novel detection and screening methods and pre-clinical models for wound healing and regenerative medicine applications. REMOD-HEALING is a Doctoral Network funded by
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modelling or numerical simulations. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7342-MARBRA-012/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
of DMA buffers). Identifying common unsafe patterns or assumptions in the use of kernel APIs. Exploring tools (e.g., static analysis, symbolic execution, model checking, formal specification) to verify
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particles - in promoting inflammation and fibrosis, and work to identify specific biomarkers of exposure and associated risks in human and mouse models. Develop and evaluate therapeutic strategies to target
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control