389 web-development "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at CNRS
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coupled fibre rings. In this system, light evolves in discrete steps. This kind of evolution leads to nonlinear dynamics that are fundamentally distinct from those in standard photonic lattices, giving rise
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applied to the study of sites, particularly rock schematic rock art sites of southern France. The contract will be carried out in the ANR SCHEMA project (https://schema.hypotheses.org/a-propos ). ANR SCHEMA
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, algebra and geometry of IRMAR and ENS Rennes. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6625-EUGPOZ-002/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent
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several universities and industrial partners, the research will focus on developing new catalytic materials and processes for the synthesis of sustainable fuels from CO and CO2 via the Fischer-Tropsch
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Transitions of Self-Organized Embryonic Systems Gastrulation is a crucial stage of embryonic development, during which an initially homogeneous tissue organizes into distinct cellular layers. Our team recently
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controlled spatial periodicity and tunable disorder landscapes, our experimental system can be driven across regimes ranging from linear-wave dynamics to solitonic states and fully developed turbulence. By
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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understood. The PhD candidate will develop theoretical and data analysis method to interpret single-cell data from endothelial tissues and to produce a working model of how phenotypical changes occur over long
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targets to develop new immune therapies toward "HIV-Cure". The project implies pDC and sub-population purification, preparation of the cells for sequencing (encapsulation and sequencing done by the Genom'IC
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many genetic mutations "uninterpretable" in clinical settings. Our project will develop an artificial intelligence approach capable of predicting, for each mutation and each cell type, its impact on