Postdoctoral Fellow in AI, Computational Biology, & Systems Biology

The position involves developing computational frameworks to integrate genomic, transcriptomic, and proteomic data to identify molecular mechanisms and potential therapeutic targets. Candidates should have a Ph.D. or equivalent in a relevant field and strong programming skills in Python and/or R. Experience with multi-omics integration and single-cell analysis is preferred. The fellow will work in a collaborative environment and contribute to projects involving large-scale datasets.