Post-Doctoral position – endothelial dynamics in 3D chiral fiber microenvironments

Post-Doctoral position – endothelial dynamics in 3D chiral fiber microenvironmentsOrganization: Institut CurieThis project will be carried out at Institut Curie, a leading French cancer center combining a multidisciplinary research center and hospital, and at Chimie ParisTech, a chemistry engineering school and active research center with expertise ranging from synthetic and physical to material chemistry. It will be performed in the frame of a dynamic collaborative project between Sylvie Coscoy (team Biology-inspired Physics at Mesoscales, Curie) and Vincent Semetey (team Materials, Interface and Soft Matter).ProjectThis project aims to decipher fundamental aspects involved in endothelial cell behavior in relation to the geometric and mechanical characteristics of the 3D microenvironment. Cell dynamics in a matrix with 3D chiral micron-scale properties remains largely unexplored, despite growing evidence of the influence of chirality on cell migration and differentiation. We propose to use a two-photon polymerization-based microfabrication system to build tube networks with 3D spiral chiral fibers, with tunable geometrical, chemical and mechanical characteristics. In these microstructures, we will study 3D cell polarity, the dynamics of filopodia and the forces at play, as well as migration and multicellular dynamics including early steps of endothelial multicellular engagement.Candidate profileA variety of profiles and PhD backgrounds will be considered for the position: applicants with PhD either in physics, biomechanics, cell biology or image analysis could be a good match for the project. An interdisciplinary motivation is recommended. Technologies used in the project will include chemistry and microfabrication by two-photon polymerization for the creation of new 3D microstructures promoting multicellular engagement and collective migration, cell culture, live imaging by spinning disk or Lattice Light Sheet microscopy, forces measurements, and image and data analysis. The initial training will be adapted according to the post-doc background in biology, chemistry or physics. A strong motivation or previous experience in using and developing AI-based methods for image analysis would be a good asset for the project.Postdoctoral funding is available for one year. After this period, selected applicants will be encouraged and supported to apply for external postdoctoral grants/fellowships on this project.Contacts #J-18808-Ljbffr