Sort by
Refine Your Search
-
undergraduates. Postdocs benefit from strong interactions with experts in applied mathematics, computer science, device physics, materials science, and statistics, as well as access to world-leading supercomputing
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, or Julia) Experience in statistical modeling and probabilistic analysis Ability to model Argonne’s core values of impact, safety, respect, impact and teamwork Preferred skills, abilities, and knowledge
-
engineering, statistics, or a closely related field, completed within the last 0–5 years is required. Demonstrated ability to conduct independent research, including problem formulation, methodological
-
, and statistics Familiarity subseasonal-to-seasonal modeling and or coupled atmosphere-ocean modeling Ability to work and communicate with stakeholders from public and private sectors A successful
-
familiarity with ML frameworks such as PyTorch, Jax, or TensorFlow. A strong foundation in statistical methods, probability theory, or uncertainty quantification is highly advantageous. Job Family Postdoctoral
-
-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
-
cells and electrolyzers is welcomed. Experience with statistical analysis methods such as PLS-DA, supervised learning and database building are highly encouraged. The applicant is expected to think and
-
the integration of variable renewables, & environmental issues. Experience in statistics & stastical analysis. Understanding of basic financial & economic principles. Experience in academic writing & publication