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Hygiene conference. Candidate profile: An ideal candidate will likely have a PhD in statistical population genetics (e.g., prior experience working with ARGs / coalescent-with-recombination), computational
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zones will be established using autologous stromal cells expressing FLT3L and CCL21, while B cell zones will be generated with stromal cells expressing CXCL13. The impact of spatial organization
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using
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background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience with existing single-cell methods and
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molecular biology, conventional and spectral flow cytometry, transcriptomics, and immune assays. Candidate profile Candidates should have a PhD with strong background in Immunology, expertise in animal
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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study the mechanism of action of such inhibitors. Profile: Candidates with a PhD in biochemistry, cell biology or related field and with passionate interest in working on infectious diseases to both
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PhD in Computational Virology, Computer Science or other related field. Awarded the PhD before the start of this appointment (no previous postdoctoral experience required). ✅Required Skills Familiarity
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pre-clinical settings. The successful candidate is expected to have: Project leadership, drive and dynamism. A PhD level, preferably without former postdoctoral experience or other with substantial