Sort by
Refine Your Search
-
) at Oak Ridge National Laboratory (ORNL) is seeking a Research Associate to perform R&D in the areas of bulk power systems electromagnetic transient (EMT) simulations, high-fidelity dynamic and transient
-
, working directly with Group Leaders in structuring and executing plans aimed at continuous improvement in operational performance including areas such as operational culture and accountability; project
-
into impactful energy, environmental, and national security solutions. The Geospatial Data Modelling Group within the Human Dynamics Section, part of the Geospatial Science and Human Security Division at ORNL, is
-
the ability to learn independently. Excellent verbal communication skills. Desire and ability to work collaboratively in a dynamic team environment. At least three of the following: Mechanical design
-
(e.g., supervised/unsupervised learning, embeddings, model evaluation). Familiarity with structured data, metadata, or information retrieval concepts. Interest in applying AI/ML techniques to real-world
-
overall cognizance of assigned HFIR structures, systems, and components (SSCs) and provide systems engineering support for operations and maintenance. Major Duties/Responsibilities: Support engineering
-
communication and coordination with the PMO. Developing and maintaining the project Work Breakdown Structure (WBS) and accompanying dictionary, along with logic-driven, resource-loaded schedules and detailed cost
-
) characterizing pellet fueling dynamics using multiple observables, 2) measuring and predicting the dynamic and cumulative impact on long-pulse particle balance and plasma performance, and 3) developing real-time
-
) characterizing pellet fueling dynamics using multiple observables, 2) measuring and predicting the dynamic and cumulative impact on long-pulse particle balance and plasma performance, and 3) developing real-time
-
information. Effective written and verbal communication skills. Analytical mindset with interest in workforce data and reporting. Ability to manage multiple priorities in a structured, deadline-driven