Post-Doctoral Research Visit F/M Post-doctoral research fellowship OR research scientist in modelling of the immune response to vaccine

One postdoc position(post PhD degree) OR one engineer position(post Master2 degree)is available to work
on the modelling of the immune response to Nipahvaccineand antiviral therapiesat Inserm U1219 Bordeaux
Population Health Center, Statistics in Systems and Translational Medicine team(SISTM) in Bordeaux(France)
for a minimumperiod of 12months.

Nipah virus (NiV) is a recently emergent, highly pathogenic, zoonotic paramyxovirus first recognized following a 1998-99 outbreak of severe febrile encephalitis in Malaysia and Singapore (Chua et al., 2000).NiV can cause atypical pneumonia or necrotizing alveolitis with hemorrhage, pulmonary edema and aspiration pneumonia, leading to acute respiratory distress syndrome.As for the huge majority of risk group 4 pathogens, the knowledges on NiVvirus infection remainvery limited. Diagnosis, therapeutic and prophylactic means still
do not exist.The Nipah project funded by the «Ministere de l’enseignement supérieur, de la recherche et de l’innovation» investigatestheseaspects in collaboration with Chinese institutions.
In this project, theSISTM team directed by Pr. Rodolphe Thiébaut aims atconductingthe analysis and the modelling of the immune response to antiviral and vaccine strategies, using the data produced inpre-clinical and Phase I clinical,including immunological sub studiesrecording many biomarkers (cell phenotype, functionality, gene expression, antibody titers...).

SISTM is a team belonging to INSERMU1219 Bordeaux Population Healthand INRIABordeaux Sud-Ouest research institutes. The group is dedicatedto the analysis and the modelling of the data generated in epidemiology and medicine with a special focus on vaccines and immune interventions in HIV and other infectious diseases. Its expertise is mainly in biostatistics with a special emphasis on dynamical models based on ODE and statistical learning using moderately high dimensional data.