54 application-forms Postdoctoral positions at Oak Ridge National Laboratory in United States
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expertise with Python-based programming for instrument control, image analysis or spectroscopy Preferred Qualifications: Experience with transmission electron microscopy Familiarity with application
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, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy
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security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have
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experimental mechanics, mechanical behavior of materials, failure analysis Demonstrated experience in application of AI and machining learning in manufacturing processes Demonstrated experience in experiment
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an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive
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Requisition Id 16178 Overview: We are seeking a Postdoctoral Research Associate to support research activities within the Isotope Applications Research Group (IARG) at Oak Ridge National Laboratory
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Requisition Id 16197 Overview: We are accepting applications for a Postdoctoral Research Associate position who will focus on the intersection of material science, materials characterization, and
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applications. You will utilize ORNL's new capabilities of aberration-corrected scanning transmission electron microscopy (STEM). A particular focus of the research will be understanding heterogeneities, such as