291 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the Nuclear and Radiological Measurements Laboratory within the Nuclear Measurements and Analytical Services group. ORNL is a world leader in advanced science and technology research involving several
-
Requisition Id 15759 Overview: The Emerging Technology Analysis Group (ETAG) at ORNL seeks applicants for our Emerging and Disruptive Technology Enforcement Liaison position. We are looking
-
scientists, engineers, and technicians on challenging, fast-paced technical projects and operations in support of the DOE Isotope Program and specifically associated with the rapidly growing field of stable
-
plans for the computing environment and lead technical projects from conception to completion. This includes planning for hardware upgrades, new technology implementations, and system performance
-
/Responsibilities: Provide engineering support for Cooling Systems equipment and projects. Perform hydraulic analysis using computational fluid dynamics (CFD) software to understand performance limitations in
-
). Major Duties/Responsibilities: Develop AI/ML models and systems for diverse data and mission contexts Design and implement reproducible pipelines for data acquisition, feature engineering, model training
-
Requisition Id 15328 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
-
Requisition Id 15329 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
-
modeling, AI/ML, data infrastructure, and laboratory automation with biological research programs across BSD. Champion interdisciplinary collaborations with computing, engineering, and data science divisions
-
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