3 Humanities "FEMTO ST" positions

Uncertainty evaluation associated to small forces generation between 100 nN and 100 µN with magnetic springs

this transfer standard to qualify metrologically an experimental platform of mechanical characterization of human oocytes, developed by the FEMTO-ST institute. This patented platform, named EGG, is located in a

Postdoc (M/F) in Physics-Informed Machine Learning for EEG neuroscience data

Description The Neuro research group (https://neuro-team-femto.github.io ) of the Department of Automation and Robotics, Institut FEMTO-ST in Besançon, is looking for a postdoctoral researcher in the field

Post-doc in Robotics for the automated handling and characterization of micrometer-sized biosourced objects

FieldOtherEducation LevelPhD or equivalent Skills/Qualifications Cédric CLÉVY, Professor, Franche-Comté University, FEMTO-ST, [email protected] Vincent Placet, Research Engineer, Franche-Comté University, FEMTO-ST