49 digital-imaging-co-relation Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
, pyrometry, spectroscopy, co-axial and off-axis high speed imaging, and more) for process monitoring and diagnostics. Develop and implement data acquisition, signal processing, and data analytics frameworks
-
physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
-
computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
-
, fusion, materials, life sciences, and other strategic domains. Investigate novel approaches for balancing efficient I/O, interoperability, and scientific validity in AI-ready datasets. Design, prototype
-
for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
-
of neutron irradiation on the mechanical and thermophysical properties of nuclear ceramics, composites, structural alloys, and related materials. Conduct detailed microstructural and defect characterization
-
). NCCS operates the Frontier exascale supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run
-
, radiological health, medical physics, nuclear engineering, applied mathematics or a closely related discipline) Sound foundation in radiation transport, behavior of radionuclides in biological systems, and/or
-
and Responsibilities: Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing
-
: Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing. I/O and storage performance