-
applications in personalized medicine. - main mission: The successful candidate will join a multidisciplinary team to explore the biophysical mechanisms of protein aggregation and contribute to the development
-
models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
-
addressing prototype and its integration into existing robotic structures developed at LIRMM (Montpellier – France); realization of a compact soft robotic prototype. - Control Development of sequential control
-
of wood formation (CEMACam project). - main mission: The candidate will be tasked with continuing the development of a wood formation simulation model initiated during the project. This 'vertex' model
-
department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and