-
computational methods to address foundational challenges in biology, chemistry, and/or therapeutic discovery. Areas of interest include, but are not limited to, machine learning and AI for biological inference
-
computational methods. A deep understanding of mass spectrometric, intact and sub-unit protein RPLC-MS analyses, bottom-up RPLC-MS/MS approaches, other protein structural analytical methods and techniques
-
functional genomic studies Familiarity with omics-based approaches (e.g., single cell and spatial transcriptomics, genomics, or proteomics), preferably with experience in the computational analysis and
Enter an email to receive alerts for parallel-computing-numerical-methods "https:" positions