The internship consists in the acquisition of Atomic Force microscopy images, the processing and analysis of large amounts of data (images and force curves) to extract morphomechanical parameters from subpopulations of vesicles.
M2 Internship from Janvier 2024
A student with a knowledge of data processing, principal component analysis, machine learning, is sought. Also, interest in manipulations and microscopy experiments will be essential for the smooth running of the internship project.
If your profile matches, if you want to join a dynamic and ambitious team, then quickly apply !!!
Conditions for the applicant : to belong to one of the EIPHI master programs (https://www.ubfc.fr/formation_/ubfc-integrate/eiphi-graduate-school/)
https://www.femto-st.fr/en/job-training-thesis/training-courses#job-5157