86 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Argonne
Sort by
Refine Your Search
-
, technique development, and new initiatives to peer reviewers and Q-NEXT program managers. Position Requirements Completed Ph.D. within the last 0-5 years (or soon-to-be-completed) in condensed matter physics
-
, the ALCF is studying the application of these techniques to a variety of our science applications, including but not limited to: Computational Chemistry, Plasma Physics, High Energy Physics, analysis
-
project focused on AI-enabled resilient operation of distribution systems and networked microgrids under uncertainty, disturbances, and cyber-physical threats. This position is best suited for a candidate
-
four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure
-
science, engineering, computational science, a physical science (materials science, chemistry, physics etc.), or related field. Hands-on experience with AI frameworks and employing large language models. Strong Python
-
The Accelerator Operations and Physics (AOP) Group in the Accelerator Systems Division at the Advanced Photon Source (APS), Argonne National Laboratory, invites applications for a staff Assistant
-
existing efforts in the group and the division. The Argonne High Energy Physics Division provides a vibrant and collaborative research environment. In addition to a strong theory program, the Division has
-
physics (HEP) and nuclear physics (NP) experiments. The successful candidate will be a key member of a multidisciplinary co-design team integrating materials science, computing, and device engineering to
-
, Safeguards and Security policies, work rules, and safe practices Position Requirements Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related field Proven research track record in
-
-directed, collaborative research aligned with CNM’s strategic plan and for user support, including enabling workflows that couple computation, AI, and experimental measurement. Expertise in one or more of