-
the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
-
are developing methods and tools to explore and understand immunity across domains of life, from genomics to experimental work in various model organisms. The role of the engineer will be to consolidate, update
-
of the Department of Computational Biology and also holds a secondary affiliation with the Development Department, as well as an affiliation with CNRS. The recruited candidate will be affiliated 80
-
offers a unique opportunity to work at the intersection of computational physics, neuroscience, and biomechanics, developing physics-based simulations that bridge neural circuits, muscle activity, and