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also interact with collaborators from outside the laboratory. The recruited person will be placed under the responsibility of Sarah Cianferani The candidate (M/F) will have access to a staff restaurant
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experimental activities, data analysis, and the development of new experimental methodologies. Collaborate closely with project partners to compare experimental observations with theoretical models and establish
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actively to M1/M2 student co-supervision. Interact and collaborate productively with other researchers within and outside of the team, including bioinformatic engineers. Present data in lab meetings and
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to apply their skills to cosmology and astroparticle physics. Beyond technical excellence, we seek a collaborative scientist committed to reproducible research and to mentoring students. Research Environment
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be working on the development of machine learning methods for single-cell data and will require interactions with collaborators of the team. Required skills : We expect a candidate with a strong
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development and implementation of numerical methods. • Experience in scientific programming. • Familiarity with Fourier-based numerical methods is an asset. • Ability to work in a collaborative international
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contains state of-the-art facilities and a highly collaborative research environment with 13 Departments across Biology/Physics/Biomedical fields. Selected publications of the lab: PDGFRα-induced stromal