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and bacterial genetic approaches required for the project. - To perform the approaches related to protein biochemistry required in the frame of the project. - To perform the optical and electronic
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/S0022112006003429 [2] A. Cahuzac, et al. “Smoothing algorithms for mean-flow extraction in large-eddy simulation of complex turbulent flows”, Physics of Fluids 1 December 2010; 22 (12): 125104, doi:10.1063/1.3490063
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experimental tools and protocols, including fluorescent reporters and genetic constructs, to monitor phenotypic variations in yeast in real time. The scientist will develop time-lapse microscopy, flow cytometry
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Eligibility criteria The applicant should have a PhD in Genetics/Molecular Biology, preferably in the fields of transcription/chromatin and/or functional genomics. He/she will be familiar with CRISPR and high
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sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial genomics data acquisition and analysis. Where to apply E
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in Synthetic Biology, Microbiology, Bioengineering, Immuno-oncology, Molecular Biology, or related discipline. - Proven experience in genetic engineering of bacteria (experience with secretion systems
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier) for 18 months. The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics
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genetic branch of languages or in a linguistic area in northern Africa or elsewhere in Africa. The employed researcher first produces a detailed description of the lexicon of beekeeping in an individual
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genomic diversity and microevolutionary history (Work-Package 3). Integrate heterogeneous datasets (genomic, phenomic, environmental) produced by the project. Perform GWAS to identify genetic loci
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) institutional program. Context: The (Epi)genetic Vulnerabilities of Solid Tumours and Sarcoma lab, led by Dr Sophie Postel-Vinay as part of the Gustave Roussy Inserm Unit U981, aims to investigate synthetic