209 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
companies participating in the DOE’s Better Plants program. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service
-
program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
-
scientific outcomes in peer-reviewed journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and
-
positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S
-
, 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
-
environment, safety, health, and quality program requirements. Follow internal review processes to ensure highest quality products. Engage with team members in all areas of the communications process and
-
program managers. Represent the Accelerator Science and Technology section to RAD, NScD, ORNL, and the broader external community. Support the mission of the Accelerator Institute to expand the application
-
an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. Benefits at ORNL: ORNL offers competitive pay and benefits programs to attract and retain
-
seeking to advance the separation science and technology for clean energy applications. Work with the Separation Technologies team to support a broad range of program development opportunities in the field
-
computing framework. Preferred Qualifications: Experience working with spatio-temporal datasets and remote sensing imagery. Knowledge of distributed computing, quality control and assessment of satellite