15 mathematics Postdoctoral positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
-
to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
-
complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research
-
Science, Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Experience with a deep learning framework like PyTorch. Strong
-
Requisition Id 15388 Overview: We are seeking a Postdoctoral Research Associate who will work at the interface between three different groups: the Single Crystal Diffraction Group in the Neutron Scattering Division (NSD), the Instrument Development group in the Neutron Technology Division...
-
workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
-
safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
-
Requisition Id 15282 Overview: The Fusion Energy Division (FED) at the Oak Ridge National Laboratory invites applications for a Nuclear Engineering position in the Blanket & Fuel Cycle Group. FED is developing the technical basis for the first fusion nuclear facility and the position will...
-
visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
-
models. Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models. Contribute to the research and development