-
, transcriptomic, and proteomic datasets using open‑source bioinformatics software. The successful candidate will apply bioinformatics algorithms and statistical methods to interpret, analyze, and visualize large
-
-of-the-art and emerging capabilities to demonstrate acceleration of DOE-relevant science. Success in the role will require the ability to utilize AI, HPC, and other algorithmic advances to advance Ames
-
field testing and performance analysis Interface with sensors and develop algorithms to process and analyze dynamic data Work directly with industry sponsors to define requirements, scope, and project
-
, training models, performance models and algorithms. • Applies engineering and computer science principles to design and develop robotic systems. • Develops and coordinates communications, presentations, etc