6 Jan 2026
Job Information
- Organisation/Company
CNRS- Department
Laboratoire d'Informatique de Grenoble- Research Field
Biological sciences
Computer science
Mathematics- Researcher Profile
First Stage Researcher (R1)- Country
France- Application Deadline
26 Jan 2026 - 23:59 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 Mar 2026- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The Grenoble Computer Science Laboratory (LIG) is a major research center whose academic partners include Université Grenoble Alpes, Grenoble INP – UGA, CNRS, and Inria. The LIG brings together nearly 500 researchers, faculty members, PhD students, and research support staff. They come from different institutions and are distributed across the laboratory's three sites: the main campus, Minatec, and Montbonnot. The laboratory's ambition is to build on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster synergy between the conceptual, technological, and societal challenges associated with this field.
Spatial transcriptomics approaches provide an unprecedented view of how cells are organized within their tissue environment. They allow the identification of cellular niches or “ecotypes” that play a major role in tumor dynamics and interactions with the microenvironment. Despite these advances, several methodological challenges remain: the very definition of a niche or multicellular neighborhood is still unclear, extracting relevant features from gene expression data remains complex, and the available studies for method validation are limited. Moreover, clinical applications of these approaches in oncology are still in their early stages.
This PhD project aims to characterize the cellular niches associated with different tumor cell subtypes in pancreatic adenocarcinoma (in particular the basal and classical phenotypes), using bulk spatial transcriptomics data from the ITMO Cancer ACACIA project and public datasets.
Where to apply
- Website
- https://emploi.cnrs.fr/Candidat/Offre/UMR5217-MAGRIC-001/Candidater.aspx
Requirements
- Research Field
- Biological sciences
- Education Level
- Master Degree or equivalent
- Research Field
- Computer science
- Education Level
- Master Degree or equivalent
- Research Field
- Mathematics
- Education Level
- Master Degree or equivalent
- Languages
- FRENCH
- Level
- Basic
- Research Field
- Biological sciences
- Years of Research Experience
- None
- Research Field
- Computer science
- Years of Research Experience
- None
- Research Field
- Mathematics
- Years of Research Experience
- None
Additional Information
- Website for additional job details
https://emploi.cnrs.fr/Offres/Doctorant/UMR5217-MAGRIC-001/Default.aspx
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Laboratoire d'Informatique de Grenoble
- Country
- France
- City
- ST MARTIN D HERES
- Geofield
Contact
- City
ST MARTIN D HERES
STATUS: EXPIRED
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