Sort by
Refine Your Search
-
project focusing on a long-standing and fascinating question : « what makes our brain cells human ? » (see our recent work : Hecker et al. Science 2025; Libé-Philippot et al. Cell 2023; Vanderhaeghen and
-
project dedicated to decoding early human embryo development through cutting-edge stem cell-based embryo models, single-cell omics, with a focus on X-chromosome inactivation and cell fate. The project
-
on the functionalization of materials, employing advanced characterization techniques to study how various plasma operational parameters influence scaffold properties, cellular responses, and material performance in
-
to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
-
and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on the fundamental aspects of transcriptional control, this project
-
, proteomics, metabolomics, single cell and/or genotyping data.Microbiology techniques is a plus but not required.Experience in molecular biology techniques for processing and analysis of DNA and RNA is a plus
-
, transcriptomics, proteomics, metabolomics, single cell and/or genotyping data. Microbiology techniques is a plus but not required. Experience in molecular biology techniques for processing and analysis of DNA and
-
developmental biology, cell biology and evolutionary biology. We like to implement novel omics technologies such as single cell approaches and chemical biology to help us answering our biological questions
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during