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Field
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-based and/or learning-based motion generation for robots (particularly aerial drones). - Development: Proven experience and proficiency in C++ and Python. - Specific Knowledge: Prior knowledge of event
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group is currently composed by 10 persons: 3 Research Directors (permanent staff), 3 engineers (permanent staff), 2 postdoctoral researchers, and 5 PhD fellows. Over the last years, the group has
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the fiber-fiber bonds mechanics using physical and chemical processing routes. The recruited postdoctoral researcher will contribute to this project. She/He will be in charge of (i) characterizing
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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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(interactive phylogenetic trees, Sankey diagrams). Report generation and statistical analysis • Statistical analysis of viral abundances (Wilcoxon, ANOVA), regression models (R, Python: statsmodels, scikit-learn
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of the CNRS and the University of Lyon 1. With around 100 staff from the CNRS and the higher education sector, and a similar number of student interns, postdoctoral researchers and visiting researchers, it is
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bioinformatics, particularly single‑cell RNA‑seq, multi‑omics, and spatial transcriptomics analysis. Specific Requirements Proficiency in Python and R; familiarity with common bioinformatics tools and pipelines
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, granularity, semantics, attributes) using QGIS and Python for data exploration and preprocessing - designing an approach for automatic change detection using AI techniques (classification, clustering
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module to limit exhaustion, gene editing (Crispr/Cas9, knocking…) includind in vivo CAR-T. We will also investigate new adoptive cell transfer in solid tumors using TRM or transgenic TCR (please see more