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microenvironment). - Perform xenografts of murine melanoma cells in isogenic immunocompetent mice. - Evaluate tumor growth and collect tumor samples for histological and molecular analysis. - Analyze high-throughput
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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therefore involve travel between these three sites, although the primary workplace will be the LRS. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7197-JULBLA-002/Default.aspx Requirements
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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methods to enhance our suite of metabolic modeling tools, including, but not limited to, the calculation, comparison, sampling, and visualization of fluxes. He or she will use these tools to integrate and
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for conducting a state-of-the-art review of the literature on “wicked problems,” in order to design an analytical framework for these problems and apply it to the issue of habitability. They will also be
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programming, microfluidics, and engineering to design sophisticated algorithms for exploring and manipulating information encoded in DNA-based graphs. The position is fully funded by a prestigious CNRS
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for this position will specifically study the links between galaxies and their cosmological environment through their morphology and intrinsic alignment. This work will be based, on the one hand, on an analysis
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developments in the field, and apply the regulations related to experimental activities. They will participate in lab meetings and present their experimental results to the research team and supervisor
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environment combining cell biology, advanced microscopy, and quantitative analysis, with access to state-of-the-art imaging platforms and international collaborations. Research Work Environment Resources