M/F Machine learning development in classical and virtual stimulated Raman histology

Updated: 3 days ago
Location: Marseille 13, PROVENCE ALPES COTE D AZUR
Job Type: FullTime
Deadline: 22 Apr 2026

2 Apr 2026
Job Information
Organisation/Company

CNRS
Department

Institut Fresnel
Research Field

Engineering
Physics
Technology
Researcher Profile

First Stage Researcher (R1)
Application Deadline

22 Apr 2026 - 23:59 (UTC)
Country

France
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

35
Offer Starting Date

1 Sep 2026
Is the job funded through the EU Research Framework Programme?

Horizon 2020
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Histology is commonly practiced in hospitals and consists of taking a small sample of tissue (biopsy) which is sliced and stained to be finally observed by a specialist allowing him to make a diagnosis on its cancerous nature. This process is long (1h-72h) and prevents the optimal management of patients during surgery or endoscopic exploration. This postdoctoral position aims at developing innovative deep learning algorithms to help histology classification. Both classical histology based on hematoxylin and eosin staining (H&E) and more innovative stimulated Raman histology will be considered. In stimulated Raman histology, the CH2 and CH3 images of bulk biopsy samples are acquired and virtually stained to resemble H&E images (https://doi.org/10.1364/BOE.10.005378 ).

This postdoctoral position aims at developing tools for classical H&E and virtual SRH staining and classification.

This work is funded by a EU project H2020/ERC


Where to apply
Website
https://emploi.cnrs.fr/Offres/CDD/UMR7249-HERRIG-026/Default.aspx

Requirements
Research Field
Engineering
Education Level
PhD or equivalent

Research Field
Physics
Education Level
PhD or equivalent

Research Field
Technology
Education Level
PhD or equivalent

Languages
FRENCH
Level
Basic

Research Field
Engineering
Years of Research Experience
None

Research Field
Physics
Years of Research Experience
None

Research Field
Technology
Years of Research Experience
None

Additional Information
Eligibility criteria

The applicant will have skills and strong interest in:
- Signal and image reconstruction
- Estimation theory
- computational methods and deep learning approaches.


Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/UMR7249-HERRIG-026/Default.aspx

Work Location(s)
Number of offers available
1
Company/Institute
Institut Fresnel
Country
France
City
MARSEILLE 13
Geofield


Contact
City

MARSEILLE 13
Website

http://www.fresnel.fr

STATUS: EXPIRED

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