Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
models for HFIR isotope production targets. A successful candidate will be capable of leading efforts to achieve isotope production objectives, including HFIR target design, qualification, fabrication
-
data models aligned with community standards (e.g., W3C PROV), and build the query, storage, and streaming layers (e.g., message brokers, document and time-series stores) required to make workflow
-
include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic
-
Requisition Id 16715 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifing frameworks for high-temperature alloys
-
from quantum computers used to advance the state of the art in scientific computing to unique modeling and simulation technologies for national security applications. Oak Ridge National Laboratory
-
another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical Engineering or a related discipline 2 years of experience in data center thermal management analytical, modeling
-
characterization using advanced analytical tools, such as synchrotron, neutron, and laboratory equipment. Experience in data analytics and modeling tools. Special Requirements: Applicants cannot have received
-
and emerging strategic opportunities. Model and reinforce ORNL values and ethics, including Impact, Integrity, Teamwork, Safety, and Service, while fostering a respectful, inclusive, and accessible
-
, computational modeling, and the establishment of processing–structure–property relationships for advanced polymer composite systems. The successful candidate will support the development of predictive tools
-
to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization