The project aims to better understand how stress hormones (i.e., glucocorticoids) are synthesized in the thymus, a key primary lymphoid organ of the immune system. Stress hormones are critical for proper thymic development and immune function. However, many details about how and where in the thymus stress hormones are produced remain unexplored. As part of […]

With the rapid growth of sensors in Cyber-Physical Systems such as clinical data, industrial systems and data centres, there is an increasing need to monitor these devices to secure them against anomalies. This is particularly the case for streaming clinical data. Indeed, the timeliness revelation of anomalies in these data can save the patient’s life. […]

The ability to perceive the motion of approaching person and to make appropriate adjustments to avoid collisions is an essential component of safe locomotion through the environment. The proposed project will investigate young and older adults’ collision avoidance behaviours with an approaching young adult in order to understand the visual information used to accomplish the […]

L’augmentation de l’espérance de vie et le recul de l’âge moyen de départ à la retraite font que le temps passé à la retraite est plus important qu’auparavant. La prise de retraite pourrait accélérer le déclin cognitif associé au vieillissement. Or, un mode de vie caractérisé par une activité physique élevée et un faible niveau […]

J’explore dans ma recherche les différentes formes de solidarités et soins dans la ville de San Cristobal de las Casas ( Mexique). L’idée est de produire une analyse des modalités et des réseaux d’appui entre femmes, en incluant des espaces d’hébergement, (refuges ou espaces d’accueil) dans la région sud du Mexique. Cette région est une […]

La chorioamniotite, infection ascendante de la grossesse est une cause majeure de prématurité et de paralysie cérébrale chez les enfants prématurés. Le laboratoire du Pr Sébire (Research Institute of McGill University Health Center, Montréal) a mis au point un modèle de rates gestantes présentant une chorioamniotite induite par du streptocoque du groupe B. Au cours […]

Les enrobés bitumineux sont majoritairement utilisés pour revêtir les structures de chaussée. La caractérisation de leur comportement thermomécanique est donc essentielle pour comprendre leur fonctionnement sous charge et dimensionner correctement les structures neuves ou qui doivent être réhabilitées. À l’heure actuelle, la majorité des essais qui permettent de caractériser ces matériaux en laboratoire nécessite des […]

High throughput multi-omic cancer studies have described the inter-tumor heterogeneity and led to well defined molecular classifications. Nevertheless, these classifications only reflect the most abundant tumor subtype in the examined sample, thus neglecting intra-tumor heterogeneity, a major source of therapeutic resistance. As advanced microdissection techniques to isolate a cell population of interest from heterogeneous clinical […]

A major challenge facing farmers is obtaining the nitrogen needed to support plant growth. Inoculation of legume crops with bacteria known as rhizobia, which supply plants with the required nitrogen, is a green alternative to environmentally hazardous nitrogen-fertilizers. The development of highly-efficient rhizobium inoculants is a pre-requisite for sustainable intensification of agriculture. In five clades […]

This project is a collaborative endeavor of researchers (6 supervisors, 3 PhD students and one postdoctoral fellow) which will be either members or visitors of the incoming “International Laboratory on Learning Systems” (ILLS) of the CNRS (starting in early 2022) with Université Paris-Saclay, McGill University and École de technologie supérieure (ETS). We will develop rigorous […]

Sensitive gas sensors are urgently needed for the detection of biomarkers for disease prevention and greenhouse gas emissions for environmental monitoring. Dynamic cantilever gas sensors work by oscillating the cantilever to its natural resonance frequency by typical MEMS (micro electromechanical system)-based actuation methods. The adsorption of a target gas on the cantilever increases its mass […]

This project is a cross-disciplinary study of econometrics and machine learning (ML) models applied to the decision making modelling in industry. The problematic arises from the lack of tools supporting the transition to circular economics model and the need to identify the key factors to influence this transition. The project aims to explore the key […]