57 study-phd-air-condition Postdoctoral research jobs at Oak Ridge National Laboratory
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acquisition conditions in real time (drift correction, autofocus) for efficient atomic-resolution STEM-EDS/EELS spectrum imaging Develop AI-enabled approaches for multi-modal electron tomography acquisition and
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, investigation of radiation–matter interactions, evaluation of material performance under extreme conditions, and the development of innovative approaches to improve the efficiency, selectivity, and durability
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on-site, along with their associated supportive technologies (such as solar photovoltaics, solar thermal systems, wind power, renewable fuels, geothermal solutions, battery storage, thermal storage, and
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, latency, and performance. Participation in hardware test benches for real detector systems. Experimental Detector Work: Testing and characterization of pixel detectors (CMS HL-LHC, Timepix4, AC-LGAD, PDCs
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, and measure success. Basic Qualifications: A PhD in materials science and engineering, mechanical engineering, aerospace engineering, polymer science, or a related discipline completed within the last
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&D in one of the above focus area in an integrated, team environment Present and report research results and publish scientific results in peer-reviewed journals in a timely manner Ensure compliance
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divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using aberration-corrected STEM and EELS. Collaborate with project team members within and outside ORNL. Present and report
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Requisition Id 15797 Overview: We are seeking a postdoctoral research associate who will study the dynamics of high-intensity proton beams in the Spallation Neutron Source (SNS) ring. This project
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meshes and accurate solutions to complex problems. What does our ideal teammate look like and what will you be doing? In this role, you will be responsible for working with subject matter experts
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maintaining or improving image quality. These advances will directly support operando studies of solid‑state batteries and porous electrodes and accelerate the development of predictive transport and