12 atomic-physic Postdoctoral positions at Oak Ridge National Laboratory in computer-science
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
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candidate will have the opportunity to assist ORNL scientists involved in these efforts, to gain expertise in biokinetic and dosimetric modeling, and to assist and eventually lead in the preparation of open
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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of this role is the study of the chemical and physical properties of molten salt liquids relevant to fission and fusion reactors. The production and recovery of tritium fuel are major challenges for successfully
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high-performance computing facilities. There is significant potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related
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resides in the Advanced Nuclear Materials (ANM) Group in the Materials in Extremes Section, Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National
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highly collaborative environment including teams in Neutron Sciences Directorate and Physical Sciences Directorate, leveraging state-of-the-art neutron characterization and other characterization tools
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materials. These systems are instrumented and connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution