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comparable to Spain's GHG emissions. This trend is unsustainable and solutions must be found to reduce the environmental impact of the audiovisual ecosystem. Modelling the environmental impact of audiovisual
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strategies to mitigate the effects of attrition) into a dynamic model of speech production, and also by improving our ability to estimate variability at the acoustic, articulatory and respiratory levels
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of experimental protocols. # Develop methods for processing and analyzing displacement fields and mechanical properties (elasticity, viscosity). # Conduct experiments on animal models (tumors, rodent brain) and
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of an iPSC model of mutations observed in patients - Characterization of defects at the cellular level - Characterization of defects at the transcriptomic level The successful candidate will work in the “mRNP
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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/Qualifications • PhD in microbiology, molecular biology, or related field • Strong experience in bacteriology and molecular mechanisms of pathogenesis • Previous experience with insect models and host
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active
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, we propose to investigate a new approach that combines the benefits of a molecular alphabet extension with those of modifying the topology of the DNA sugar-phosphate backbone. Our model will be based
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modelling, naturalist data usage. LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelExcellent Research FieldEconomics » Applied economicsYears of Research Experience1 - 4 Additional Information Eligibility