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researcher. The PhD should preferably be obtained in 2025, with in-depth knowledge of liver physiology and the pathophysiology of liver diseases. Experience in the following areas is highly desirable: - animal
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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and construction of cutting-edge detection systems, often called upon to operate under extreme conditions: in the depths of the sea, in space or underground. Most of our research is carried out as part
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of imaging, both in acquisition speed and imaging depth, for applications ranging from biological systems to nanomaterials. This research is inherently interdisciplinary, combining expertise in optics
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microscopy modalities aimed at pushing the limits of observation, both in terms of acquisition speed and imaging depth, for applications ranging from biology to the study of nanomaterials. These developments
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/develop predictive models that can inform future land management and conservation strategies. Responsibilities • Data mining: Compile, review and complete pollen data and age-depth models from existing
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with in-depth knowledge of parallel programming (GPU, multi-threading, etc.). - Familiarity with standard collaborative development tools: Git, GitHub, CMake, Guix-HPC, Spack, GTest, CTest, etc