Training and teaching are integral to the activities of the different members of the Milieu Intérieur Consortium. Various training opportunities are available within the Milieu Intérieur Consortium. MI is committed to providing training opportunities on a range of topics related to translational research, immunology and genetics. Please contact us for more information by emailing us at firstname.lastname@example.org
Funding PhD and postdoctoral trainees
5 PhD students funded by the Milieu Intérieur have graduated. We will be funding 3 additional PhD students for the academic years 2021-2024. We have also funded several post-doctoral trainee positions over the past 10 years.
Within the framework of MI, we co-finance and organize the following courses (master-2 level or post-graduate students):
This two-week course, directed by Lluis Quintana-Murci, Laurent Abel and Aurélie Cobat, highlights the multidisciplinary approach of the MI project. It provides the theoretical and practical basis of the MI research questions; the use of population genetics and genetic epidemiology approaches that enables tackling major questions in human immunology, infectiology and public health.
Monitoring human immune responses
As part of the annual Advanced Immunology Course, this practical session is inspired by MI. The goal of this practical course is to introduce students to a research subject through a variety of state-of-the-art experimental approaches, and to sensitize them to translational medicine studies, namely standardized immune response molecular profiling.
Principles and Applications of Fluorescence Microscopy course: This course covers basic optics principles necessary to understand the origin of microscope resolution and design. Participants get hands-on experience implementing simple optical configurations to illustrate these fundamental principles. In 2020, 14 students attended the course.
MI data to train new generation of Bioinformaticians
MI data is utilized to teach about "Big Data et Santé"- a one-week course to 2nd year Centrale-Supelec engineering school students.
MI data is also used to teach the "Multivarate data analysis" course within the frame of the "Bioinformatics program for PhD Students" at Institut Pasteur.