41 parallel-computing-numerical-methods research jobs at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Researcher to join our team. In this role, you'll utilize both qualitative and quantitative research methods to help teams understand user needs, behaviors, and motivations. Your insights will be invaluable in
-
, you will collaborate with leading experts in quantum photonics, theory, and nanofabrication across ORNL. Your role will involve developing innovative fabrication methods to create monolithic photonic
-
, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
-
, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
-
methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
-
computations relevant to the development of strategic nuclear performance codes for nuclear reactors. This position resides in the Radiation Effects and Microstructural Analysis Group (REMAG) in the Materials in
-
efforts across DOE scientific applications. Develop and apply distributed intelligence methods on heterogeneous computing resources from edge devices to leadership-class systems. Develop novel
-
other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
-
://neutrons.ornl.gov . Together with an interdisciplinary team, you will investigate the fundamental limits and expand understanding of the applications of correlation methods for neutron scattering by characterizing
-
, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls