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Letellier

1 year ago

Cancer biology, bioinformatics University of Luxembourg and KU Leuven in Luxembourg

Degree Level

Postdoc

Field of study

Computer Science

Funding

not provided

Deadline

Expired

Country flag

Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Biomedical Engineering
Biology
Health Science
Randomized Controlled Trial
Single-cell Analysis
Colorectal Cancer
Tumor Microenvironment
Phenotypic Plasticity
Immune Response
In Vivo Testing
Fibroblast Biology
Organoid Technology
Multidrug Resistance
Phenotypic Variation
Bioinformatic
Spatial Transcriptomic

About this position


Our collaborative group, composed of the MDM group at the University of Luxembourg, led by Prof. Letellier and the laboratory of Prof. Tejpar at the KU Leuven, investigates stromal–epithelial crosstalk in colorectal cancer initiation, progression and therapy resistance. Using state-of-the-art single-cell RNA sequencing (scRNAseq) and spatial transcriptomics on CRC patient samples, we have identified novel epithelial cell states and distinct cancer-associated fibroblast subpopulations.

The primary research focus will be to define how fibroblasts from healthy colon tissue transition into distinct CAF subtypes and how these subtypes regulate epithelial plasticity and immune responses, promoting tumor progression and therapy resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials through the group of Prof Tejpar will put the postdoc in an ideal position to understand how the stromal interactions change under current novel treatments and could be harnessed as future therapies.

The postdoctoral fellow will work jointly between the University of Luxembourg and the KU Leuven, benefiting from a highly collaborative, interdisciplinary environment, and contributing to the TARGET-SEC project’s overarching goal of identifying novel therapeutic strategies targeting pro-tumorigenic stroma–epithelial interactions in CRC.

The person will focus on applying innovative bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor “ecosystem” with a particular emphasis on epithelial cells, cancer-associated fibroblasts and immune cells, and to comprehensively profile their phenotypic and functional heterogeneity, lineage plasticity, and evolutionary dynamics.

For all in vitro and in vivo experiments, the Postdoctoral Fellow will be supported by a dedicated technician, who will be recruited concurrently for this project.

Tasks:

  • Coordinate experiments for the TARGET-SEQ project
  • Conduct bioinformatics analysis and implement new tools
  • Collect, interpret, and analyse research related data and results
  • Ensure proper scientific documentation
  • Document performed experiments and analyses in a lab book
  • Participate and present obtained data in bi-monthly consortium meetings
  • Present the data in scientific publications
  • Contribute to general tasks in the laboratory

What's required

Applicants should hold a PhD in biology, medical science, biomedical engineering, bioinformatics, or a related field. Experience with single-cell RNA sequencing, spatial transcriptomics, and bioinformatics analysis is highly desirable. Strong skills in experimental design, data analysis, and scientific documentation are preferred. Ability to work collaboratively in an interdisciplinary environment is important. No specific language or GPA requirements are mentioned.

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Professors

Professor at University of Luxembourg

University Name

University of Luxembourg

Research Interests

Biostatistics

Single-cell Analysis

Immune Response

Colorectal Cancer

In Vivo Testing

Professor at University of Luxembourg

University Name

University of Luxembourg

Research Interests

Biostatistics

In Vivo Testing

Single-cell Analysis

Biology

Fibroblast Biology