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2. Compare the CRT efficiency and the immune response before and after tumor resection. 3. Evaluate the association CRT and immunotherapy in ectopic and orthotopic models of GBM, before and after
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lakes - Good knowledge of mathematical and statistical modeling methods in ecology - Proficiency in optical microscopy and flow cytometry tools - Very good knowledge of algal community identification
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device modeling is desirable but not required. ● You are a team player with a high level of motivation, self-initiative and independence, excellence and flexibility to work and deliver results. ● Interest
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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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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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teams to contribute to the development of fundamental aspects of computer science (models, languages, methods, algorithms) and to develop synergy between the conceptual, technological and societal
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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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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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/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