351 proof-checking-postdoc-computer-science-logic positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
briefings or field visits. Uphold ORNL’s safety, quality, and ethics standards. Basic qualifications: Bachelor’s degree in any scientific, engineering, or related field (e.g., physics, computer science
-
. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
-
Requisition Id 15814 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
-
these important missions by teaming with ESED’s division director, program managers, and staff to build on a rich history of accomplishments in enrichment science and engineering. As part of our team, you will
-
to effectively measure and assess overall program performance. Serve as a resource for ORNL research staff and research administration on technology transfer and commercialization partnering mechanisms. Provide
-
, Computer Science, or a closely related field. Experience in at least one of the following areas: FPGA programming (VHDL/Verilog, HLS) Pixel detectors in high-energy physics or radiation detection
-
on either a large-scale scientific research and development project or large scientific instrument project. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy
-
systems, and logical reasoning. Preferred Qualifications: Ability to lead projects on a scale of multiple millions of dollars in labor and material expenses. An AS degree in science or technical related
-
Requisition Id 15603 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
-
Requisition Id 15757 Overview: We are seeking a Computational Scientist for the Multiscale Materials group in the Computational Science and Engineering Division (CSED). The candidate will be