Complex network analysis is a fascinating research topic with incredibly diverse applications: social networks, transportation, logistics, telecommunication and computing infrastructures, etc. It is also a cornerstone of neuroscience, where biologists seek to understand the relationships between measured functions and brain organization. At the most fundamental level, this involves understanding how the topology/connectivity of the neural network determines functions at larger scales and vice versa. Few people know that there are as many cells in the human skeleton as there are in the brain, and that in both cases the cells are highly interconnected. The biological role of this network and the impact of topology are still very poorly understood and it is therefore tempting to apply similar ideas developed in the general framework of complex network analysis to bones. Such approaches could have a strong impact on the biomedical community.
We are currently looking for a student in Master 2 or final year of Engineering School in one of the following fields: physics of complex systems, bio/medical imaging and signaling or applied mathematics with a strong background in Python programming and image processing. Your main tasks will be to optimize current image processing pipelines using morphological models and machine learning tools, as well as to develop graph analysis tools including geometry and symmetry features of the cellular network.
This master internship will lay the groundwork for a thesis funded by a recently obtained HFSP grant with colleagues from McMaster University (Canada) and the City College of New York (USA). As part of this international collaboration, you will be strongly encouraged to spend time in the laboratories of the different partners in Canada and the United States in order to benefit from the different expertise and to broaden the scope of your research. The major biomedical application of this project is the analysis of the evolution of the cellular porosity network as a function of bone mineral depletion in a lactating mouse model.
Mis à jour le 22 June 2022