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Description

The INSERM U970 Paris-Cardiovascular research Center (PARCC) was created in 2009 at the Georges-Pompidou European Hospital (Paris, France). The 14 PARCC research teams are conducting projects spanning basic molecular and cellular biology to integrate physiology and pathophysiology, biomarkers, genetics and epidemiology, with the goal of furthering the understanding of major cardiovascular disease, including atherosclerosis, hypertension, heart failure and sudden cardiac death. Translational research is an integral part of the mission of the PARCC, in close connection with clinical laboratories and departments of HEGP.

Main mission
    Conduct research in the field of imaging and physiological signal analysis as part of the SALVAGE study, funded by ANR 2024, which aims to study sex and gender differences in vascular aging in the EPP3 cohort

Main activities
As part of the SALVAGE project, the agent will develop an automated imaging analysis tool that will perform radiomic analysis of the carotid wall using raw radiofrequency signals acquired during the first and second waves of EPP3 visits. A significant part of their work will involve ensuring the interoperability and consistency of measurements acquired during the first and second waves of EPP3 visits using two different devices. The agent will also be responsible for statistical and machine learning analysis of the results. 

Specific features and environment of the position  
  “Arterial health and disease in women” team

Working hours     
•    Full-time
•    38.30 hours per week 
•    44 days of annual leave and RTT (reduced working time)

Activities that can be done remotely     ☒ YES  **Subject to conditions 

Profil recherché

Knowledge
The agent must have a thorough understanding of the physical and medical principles governing the measurement of cardiovascular aging and cardiovascular hemodynamics using non-invasive methods in humans. They must have experience in image processing and physiological signals. They will also be familiar with classical and machine learning statistical approaches as well as programming in Matlab.

Know-how
The successful candidate must be able to work independently and show initiative. 

Skills    
The agent must have managerial skills in order to supervise Master's or PhD students.

Desired experience
PhD

Level of education and training
Degree in engineering or another technological discipline.
Thesis in the field of cardiovascular hemodynamics.