We are looking for a candidate for a PhD position shared between Gen&Chem group (BGE/IRIG) at CEA-Grenoble and IPhT at CEA-Saclay, combining expertise in statistical physics, computational biology and computer science. This PhD project aims to develop novel machine learning for robust characterization and modeling of noise in deep sequencing data from selection-amplification experiments. By addressing the inherent biases and noise structures in these datasets, we will create more accurate computational frameworks for protein fitness landscape modeling.
For more details and to apply: [
adum.fr].
Contacts:
guido.uguzzoni@cea.fr,
jorge.fdcd@ipht.fr.
Modifié 2 fois. Dernière modification le 12/05/25 10:48 par Jorge FdCD.