184 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
-
postdoctoral research associate to advance the state of scientific AI by addressing cross-cutting challenges in data readiness for AI to enable scalable, reproducible AI workflows on leadership-class systems
-
Requisition Id 15693 Overview: We are seeking a Group Lead for our Data Acquisition (DAQ) Software Group who will focus on managing and leading a team of control software engineers to develop
-
pay range: Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with
-
Requisition Id 15381 Overview: We are seeking a Data Engineer who will focus on engineering design, installation, and troubleshooting associated with the rapidly growing field of stable isotope
-
Requisition Id 15621 Overview The Chief Data Officer (CDO) ensures Oak Ridge National Laboratory’s leadership in the creation, assembly, curation, and utilization of data and data sets
-
Requisition Id 15464 Overview: The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
-
Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About” tab at https://jobs.ornl.gov . #LI-DC1 This position will remain open for a minimum of
-
on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems