50 analog-and-integrated-circuits Postdoctoral research jobs at Oak Ridge National Laboratory
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, fabrication, and testing of integrated photonic devices and circuits. Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively
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, fabrication, and testing of integrated photonic devices and circuits. Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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interfaces in quantum materials or energy materials. Advanced electron microscopy capabilities, such as 4D-STEM and high-resolution electron energy-loss spectroscopy (EELS), will be integrated with in situ
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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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through innovative materials and process development. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Science. As
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scientific conferences Collaborate with ORNL staff scientists and external collaborators Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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that generate, refactor, and validate scientific code written in Mojo, Julia, Rust, and Python. Integrate AI‑driven workflows into DOE‑relevant HPC toolchains, leveraging insights from projects in LLM‑driven HPC
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(EERE) on the integration of new technologies, identifying and validating new ways of using existing and emerging grid assets to ensure grid reliability, grid resilience, environmental stewardship, and
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and