Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
development utilizing React and Flask frameworks to enable the discovery, analysis, visualization, and downloading of geospatial data. Configure, administer, and maintain geospatial data servers such as
-
algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and
-
problem-solving skills and the ability to visualize a problem or situation and think abstractly to solve it. Cisco and Arista Data Center switching experience highly desired. Knowledgeable in the use
-
Requisition Id 16137 Overview: We are seeking an information specialist who will develop technical communication materials for research emanating from the U.S. Department of Energy’s (DOE
-
, analysis and visualization technologies, programming systems and environments, and system science and engineering. The Data and AI Systems Research Section has capabilities in the following areas: Learning
-
refrigeration. Experience with microwave electronics. Experience processing van der Waals materials and heterostructures. Strong programming and data visualization skills. A strong record of productive and
-
visualize the massive amounts of data that result. ORNL’s artificial intelligence research provides the techniques to link the data producers, e.g., supercomputers and large experimental facilities, with
-
. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data
-
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
-
Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics