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The Computational Biology Group at CIC bioGUNE seeks a highly skilled postdoctoral researcher to work on developing computational approaches for designing neuronal cell conversion protocols.
The project aims to create a computational platform to identify hierarchical combinations of cell fate conversion factors to generate specialized neuronal subtypes for cell transplantation therapies in animal models of neurodegenerative diseases.
The Computational Biology Group at CIC bioGUNE seeks a highly skilled and motivated postdoctoral researchers to work on an exciting project that aims at the development of computational approaches for designing neuronal cell conversion protocols. The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors, which will in turn be used to engineer highly specialized neuronal subtypes for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model (foundational model) to propose protocols for the sequential induction of transcription factors to generate desired cell subtypes. The selected candidate will be part of a Canadian federal grant project (NFRF) with international collaborators who will conduct experimental validation of the computational predictions to translate neuronal reprogramming into clinical practice.
The Computational Biology Group aims at establishing a solid infrastructure to develop theoretical frameworks for computational modeling of biomedical problems, especially in the areas of stem cell research, aging and disease modeling. The group closely collaborates with leading national and international experimental labs with a particular interest in stem cell research and regenerative medicine.