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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
will be responsible for (i) deparaffinizing murine samples used as models for rheumatoid arthritis; (ii) performing Cut&Tag assays on tissue sections; and (iii) preparing Illumina sequencing libraries
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the project, with direct access to state-of-the-art platforms including metabolomics by high-resolution mass spectrometry (IMPACT-PM), high-throughput sequencing (LIGAN-PM, 'Equipment of Excellence' platform
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Sequencing samples from the UKBiobank. The project aims at the wide-spectrum prediction of human phenotypes, unlocking new frontiers in clinical genetics, precision medicine, disease risk prediction, and
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the transmission cycle of these pathogens, with the goal of developing innovative antiviral strategies. Develop reverse genetics systems for mosquito-borne viruses. • Perform virus passaging followed by sequencing
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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targets to develop new immune therapies toward "HIV-Cure". The project implies pDC and sub-population purification, preparation of the cells for sequencing (encapsulation and sequencing done by the Genom'IC
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multiplication requires well-orchestrated developmental programs and regulatory pathways to guarantee fidelity in transmission of genetic information. Multiplication inside red blood cells of Plasmodium falciparum
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metagenomics), environmental geochemistry and mineralogy, bioinformatics for DNA sequence analysis. The candidate should have a taste for team and interdisciplinary work and be familiar with the latest
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chromatin biology, epigenetic regulation, and/or genome stability • Solid expertise in molecular biology and functional genomics • Experience with next-generation sequencing technologies • Interest in
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degree in aquatic microbial ecology and experience in high-throughput sequencing data analysis and statistical tools (familiarity with the UNIX terminal environment; management of big data on clusters