59 post-doc-dynamics-vibration Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
-
physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
-
Requisition Id 15797 Overview: We are seeking a postdoctoral research associate who will study the dynamics of high-intensity proton beams in the Spallation Neutron Source (SNS) ring. This project
-
and dynamic processes Publish research results in peer‑reviewed journals and present at scientific conferences Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
-
Requisition Id 15420 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
-
with the Multiscale Dynamics and Heterogeneities in Quantum Materials themes at the CNMS and US DOE’s Genesis projects. The candidate is expected to work closely with Soumendu Bagchi and P. Ganesh. As
-
Requisition Id 15422 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
-
; and food web/trophic dynamics. Analytical chemistry experience working with trace metals. Experience with working with aquatic organisms. Ability to identify, analyze and summarize relevant literature
-
Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must
-
Scarcity and Quality Dynamics: Investigate methods for addressing sparse labels, non-standard metadata, and imbalanced datasets to improve AI training robustness across scientific domains. Privacy and