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Field
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to assess performance in hypoxia models and radiotherapy contexts. Participate in publications, patents, and start-up development activities. The work will take place within the framework of the Project
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Generate point mutants in cell lines using CRISPR-Cas9 technology Characterize the cellular transcriptome and proteome under various conditions Phenotypic characterization of a mouse model Related activities
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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RAISE project (Recrystallization modelling of metallic Alloys with Improved Stored Energy description), a collaboration between the Georges Friedel Laboratory (LGF, Saint-Étienne), the Centre for Material
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towards scalability and error correction, we are adopting a measurement-based computing paradigm. This model assumes that it is possible to generate light states in which a large number of photons
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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results and absence of an explanatory condition) taken as a model of medically unexplained symptoms in adulthood. Analyses will be conducted using data from the French CONSTANCES population-based cohort