The Laboratory for Interdisciplinary Physics (LIPhy), located on the university campus of Grenoble, is very much oriented on interfaces between physics and other disciplines, in particular life and environmental sciences, mechanics or applied mathematics. Physics at the LIPhy is not restricted to a particular field of application: it is rather conceived as a general method to approach complex phenomena, based on innovative instrumental developments, quantitative modeling of phenomena and their theoretical or numerical analysis. The LIPhy offers unique interdisciplinary expertise at an international level and hosts numerous collaborators from various parts of the world in a sportive and relaxed atmosphere with state of the art technical and scientific support. The project will be performed in close collaboration with experts in image and complex systems analysis from the LARIS (University of Angers) and GIPSA Lab (Grenoble). During your PhD, you will also strongly be encouraged to spend time at the different partner's labs in Canada and the US to benefit from our mutual expertise and broaden the scope of your research.
This PhD project focuses on the development of new analytical tools to better understand the role of complex cellular networks in mineralized tissues (bones and teeth). At the most fundamental level, the aim is to understand how the topology/connectivity of the cellular network determines functionality at larger scales.
Together with colleagues from McMaster University (Canada) and the City College of New-York (USA), we will tackle this issue by studying the osteocyte network in mice bone. The key aspects of this project reside in: 1) the huge number of microscopic cells and connections to consider at the organ level, resulting in a large scale dimensionality of the network graph; 2) the specific symmetries and interfaces that tend to split the network into sub-graphs depending on tissue type 3) the connection to other (e.g. vascular) networks and surfaces, resulting in a true multiscale problem.
Your missions: you will be in charge of : - optimizing image processing pipelines using morphological models and machine learning tools - implementing graph analysis including geometry and symmetry network characteristics - proposing strategies adapted to multiscale studies, e.g. coarse-graining, wavelets... - providing dynamical analysis of network evolution as a function of biological constraints
This topic is best suited for someone with a strong background in physics of complex systems, image processing or applied mathematics who also has a strong background in Python programming.Web site for additional job details
https: // emploi.cnrs.fr/Offres/Doctorant/UMR5588-AURGOU-002/Default.aspxRequired Research Experiences
Physics: Master Degree or equivalent
FRENCH: BasicContact Information