Postdoc AI in regulatory genomics m/w/d

ID: 266660


Jobbeschreibung	Your role You will contribute to the conception and development of new algorithms spanning: large language modeling of DNA and RNA sequences self-supervised and semi-supervised modeling strategies Multi-modal modeling, spanning all levels of gene regulation from chromatin accessibility to protein abundance via transcript boundary choice, RNA stability, and localization. algorithms for MPRA and gene design You will interact with other postdocs. You will mentor and be supported by more junior colleagues (PhD candidates, Bachelor’s and Master’s students).

Qualifikationen	Requirements PhD degree in Computational biology or related (Computer Science, Physics) Experience with NGS data processing and modeling Experience with the conception, implementation and training of deep learning models Excellent organizational skills and good mentoring capabilities Fluent in English. Communicate clearly in a multidisciplinary collaborative setting

Firma	Technische Universität München 80333 München


Link zu weiteren Informationen

Zur Übersicht