Stromalab - Targeting the stroma to regenerate Médecine régénératrice, thérapie cellulaire, cellules souches mésenchymateuses, tissu adipeux, moelle osseuse, réparation, régénération Regenerative medicine, cell therapy, mesenchymal stem cells, adipose tissue, bone marrow, repair, regeneration

Job Offers

  • Doctoral student in multidisciplinary research: Physiopathology and mathematical data processing :

Main scientific field: Applied Mathematics – Deep Learning Data Sciences

Secondary scientific field: Pathophysiology, Regenerative Medicine, Aging

Description of the subject :
The ultimate goal of the overall project is to build a 3D numerical simulation model to identify, mimic and study the self-organizing endogenous mechanisms of post-traumatic or aging tissue reconstruction in adult mammals. The types of self-organization prevalent in an equilibrium adult tissue and in a tissue under construction are
similar to the different phases of a physical system. Built on a functional, integrative and synthetic vision, the project will rely on the combination of rule-based agent-type heuristic models with sophisticated imaging techniques. The models made as user-friendly as possible will be used to define a list of key determinants involved in triggering phase transitions and reaching a new state of equilibrium. Biological experiments will be conducted in the laboratory to calibrate the models and to test, validate and improve the underlying model assumptions using state-of-the-art methodologies, particularly in imaging and image processing. The validated hypotheses will be pharmacological targets likely to allow complete tissue regeneration or reversion of tissue degeneration that occurs during aging.

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