54 application-forms-"https:"-"https:"-"UCL" research jobs at Oak Ridge National Laboratory
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and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology
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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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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
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Write software to support cutting edge research and facilitate Proof of Concept demonstrations Implement, evaluate, and enhance machine learning pipelines for cybersecurity applications Basic
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performance modeling, static analysis, or PIM/heterogeneous architecture research. Knowledge of large-scale scientific computing applications and algorithms (sparse linear system solvers, dense matrix
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understanding of ferroelectrics, especially in thin film form. Experience in Python and/or Matlab. Experience in materials characterization techniques such as Raman, X-ray diffraction, and scanning electron
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of advanced materials. Research efforts will include the application of density functional theory packages and in-house codes, and the development of supplemental numerical tools, to describe
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data