Sort by
Refine Your Search
-
assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies. Please contact Dr. Scott Painter (paintersl@ornl.gov
-
), Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of the team, you will carry out in-situ studies of droplet interface bilayers (DIBs) using fluorescence microscopy techniques
-
seeks candidates interested in developing skills at the interface of fundamental and applied radiochemical sciences. Of particular interest is the ability to translate fundamental science into practical
-
and carbonation reactions in aqueous solutions, amorphous materials and at mineral-water interfaces. Collaborate with ORNL researchers on the design and execution of experiments to measure
-
Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications
-
include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
-
computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
-
management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
-
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
-
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