Sort by
Refine Your Search
-
scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures. Establish R&D priorities across: AI foundation models trained on scientific and simulation data
-
in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
-
recognition and classification algorithms. Experience with Computational Imaging and Image Reconstruction techniques. Familiarity with federal funding procedures, regulations, policies, and practices
-
signature recognition and classification algorithms. Experience with Computational Imaging and Image Reconstruction techniques. This position requires the ability to obtain and maintain a Sensitive
-
processing and data analysis tools relating to extraction of information from dynamic test results. Experience in Machine Learning Algorithms and Data Analytics. Experience in Machinery Health Monitoring and
-
, enhanced sampling, QM/MM) Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation
-
development of novel AI algorithms, it does require strong implementation skills, sound statistical judgment, and an ability to translate methods into reliable, maintainable, and well-documented pipelines