22 chromosome-structure-imaging Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16093 Overview: Oak Ridge National Lab is seeking a Postdoctoral Research Associate to advance quantitative, high‑throughput neutron imaging for next‑generation energy‑storage
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Requisition Id 16127 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply electronic structure theory approaches to examine the fundamental properties of a range
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of neutron irradiation on the mechanical and thermophysical properties of nuclear ceramics, composites, structural alloys, and related materials. Conduct detailed microstructural and defect characterization
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on using neutron scattering to probe the structure and dynamics of materials relevant to energy applications and/or structural materials. In particular, the work will aim to (1) understand how hybridized
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the functional properties of novel ferroic material systems and correlate their nanoscale ferroelectric, ferroelastic, optical, and electrical responses with structure and environment, with relevance
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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
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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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Laboratory (ORNL). As part of our team, you will investigate the atomic and electronic structures in energy and quantum materials and correlate them with relevant properties for energy and data storage
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, particularly in environments relevant to medical isotope science and technology. Experience with radiation–matter interactions, including the impact of radiation on material properties, structure, and long-term
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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