-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
-
neuroinflammation. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology
-
or altered behavioral responses in ASD models How these changes reflect underlying shifts in cortical circuit function You will work within the Bonin and Farrow Labs, which brings deep expertise in
-
early developmental success. You will establish an integrated workflow that combines cryo-electron tomography (cryo-ET), sub-tomogram averaging and expansion microscopy to map/model key sperm structures
-
we resolved their structures (Ying et al., 2024, Science; Wei et al., 2025, Plant Communications; Hu et al., 2025, Trends Biochem. Sci.). With this PhD project, we aim to unravel the molecular bases
-
spectrometry-based phosphoproteomics, redox proteomics (CysQuant), and RNA-sequencing, leveraging VIB's Proteomics Expertise Center. Job description Within a larger project on climate-resilient crops, on healthy