Predoctoral Appointee – Machine Learning for Viral Glycosylation Prediction

The Computing, Environment, and Life Sciences (CELS) directorate at Argonne National Laboratory is seeking a Predoctoral Appointee to contribute to cutting-edge research at the intersection of artificial intelligence, computational biology, and high-performance computing. The successful candidate will join an interdisciplinary team developing machine learning methods to understand glycosylation patterns across viral proteins, with applications to pathogen characterization, vaccine design, and therapeutic discovery.

The appointee will work closely with computational scientists, biologists, and AI researchers to develop, implement, validate, and deploy novel graph-based machine learning models capable of predicting glycosylation sites and glycan occupancy in viral proteins. The position provides an opportunity to conduct impactful research while developing expertise in machine learning, structural biology, scalable software development, and leadership within a collaborative nati...