25 computational-material-science-"Multiple" Postdoctoral positions at Oak Ridge National Laboratory
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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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Requisition Id 15021 Overview: We are seeking a motivated Postdoctoral Research Associate to join the Material Signatures and Isotopic Standards (MSIS) Group within the Chemical Sciences Division
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) efforts within the Center for Nanophase Materials Sciences (CNMS) through hardware developments. As a postdoc, you will be expected to design and build custom hardware solutions focused on integrating
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on pyrocarbon and graphite-based nuclear materials. Develop an operational mastery of the two-modulator generalized ellipsometry microscope (2-MGEM). Develop a working knowledge of the overall technology and
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Requisition Id 14889 Overview: We are seeking a Postdoctoral Research Associate who will focus on delivering groundbreaking computational chemical and materials science at the forefront
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, and measure success. Basic Qualifications: A PhD in computational or theoretical physics, chemistry, materials science, or other closely related field completed within the last 5 years. Experience with
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techniques to control the growth environment and material consistency across the wafer targeting applications in microelectronics and quantum information science. This position resides in the Functional Hybrid
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in