Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major Duties
-
such as pulsed laser deposition (PLD) to synthesize and optimize materials. The focus will be on developing and improving the reliability of agentic AI platforms that can perform atomic manipulation in STM
-
Requisition Id 15552 Level: BP04 Overview: We are seeking a Requirements Program Manager who will oversee the requirements management processes that support deployment of the UT-Battelle Prime
-
Program, Molten Salt Reactor Program, and the Advanced Sensors and Instrumentation Program. Major Duties/Responsibilities: Perform experimental work in radiological materials laboratories centered on molten
-
Requisition Id 15590 Overview: Oak Ridge National Laboratory (ORNL) is seeking a leader for our world class radioisotope production program. Supporting the largest radioisotope production and
-
Lab (ORNL). Our group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. The SE Group also provides technical support to operations and maintenance and performs
-
with training machine learning models on high performance computing infrastructures leveraging GPU accelerators. Experience in the development of project research proposals. Ability to function well in a
-
solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high
-
algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
-
, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance