298 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, and maintain computational workflows that enable reproducible, scalable science on leadership-class systems. You will collaborate with researchers across diverse domains to translate scientific
-
on nuclear programs and issues. Generate analytical assessments on nuclear processing technologies to include process operations, engineering, and technical developments. Provide expertise on nuclear material
-
external entities. Process and direct vulnerability scanning activities across multiple enclaves in keeping with their specific requirements. Maintain strong communications relationships with ORNL’s various
-
physical forms needed to support the user communities. You will work closely with a focused group of scientists, technicians, and engineers on challenging, milestone driven technical projects in support of
-
regulations. Major Duties/Responsibilities: Responsible for designing, configuring, and troubleshooting network systems, as well as maintaining computer networks, switches, routers, firewalls, and other
-
also include the following: pre-procurement planning with customers, pre-proposal conferences, facilitating concurrent reviews, leadership of subcontract negotiations, participation on process
-
Requisition Id 16046 Overview: The Computer Science and Mathematics Division (CSMD) is seeking an internationally recognized and research active computational scientist to lead and grow world
-
to meet the growing demand for radioisotopes. ORNL is the largest multi-program science and energy laboratory in the Department of Energy system. This role directly supports mission-critical nuclear
-
(NIDC), reporting to the NIDC Director. The NIDC serves as an interface with the isotope user community and coordinates isotope production across numerous program facilities (including ORNL) for the U.S
-
candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated