Université de Lorraine

Postdoc, engineer positions in Machine learning

Save as a favourite

We are searching for high-level holders of a doctoral or master degree to develop an innovative systems approach to the global health challenges of cardiovascular disease towards the prevention, treatment, and diagnosis of a resolution of inflammation.

The candidate's work will involve using machine learning to collect and analyse multiple types of data (clinical, genetic, environmental and biomolecular), as well as a multi-omics approach, integrating lipidomic, genomic and transcriptomic results from different sources.

The candidate must hold a PhD or a master degree at the start of the position, with demonstrated skills in bioinformatics and epidemiology. Previous experience in cardiovascular data analyses, cardiovascular pathophysiology and knowledge of lipids and inflammation are meriting.

Applicants are requested to submit the following materials:

  • A cover letter applying for the position
  • Full CV and list of publications
  • Academic transcripts
  • Applications can be sent to: malika.smail@loria.fr

Apply now

Fill out the form below to apply for this position.
Allowed file types: PDF, DOC, DOCX, TXT, RTF
Allowed file types: PDF, DOC, DOCX, TXT, RTF
Allowed file types: PDF, DOC, DOCX, TXT, RTF

*By applying for a job listed on Academic Positions you agree to our terms and conditions and privacy policy.

Job details

Postdoc, engineer positions in Machine learning
34 Cours Léopold Nancy, France
Application deadline
Job type
Save as a favourite

About the employer

Université de Lorraine promotes innovation through the dialogue of knowledge, taking advantage of the variety and strength of its scientific fields...

Visit the employer page

This might interest you