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eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years or expect to complete it by January 2027. Visa sponsorship is not available
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workflows; document methods, prepare peer-reviewed publications and project reports, and present research results. Conduct experiments in accordance with ORNL laboratory and laser-safety procedures. Deliver
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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that have applications in multiple sectors of importance in the Department of Energy. The primary focus will be developing separation methods using mass spectrometry including microfluidics, MEMS, and mass
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to research proceedings and publications Prepare technical reports Deliver briefings to stakeholders Basic Qualifications: A PhD in Chemical Engineering, Mechanical Engineering, Physics, Materials Science
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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interconnection topologies that simplify the use of diverse distributed storage resources through advanced methods for distributed data placement, layout, tiering, and movement. Major Duties and Responsibilities