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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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characterisation systems, vacuum beamlines, high-pressure gas cells, and optical diagnostics. Our numerical simulations rely on our own open-source code, Luna.jl (https://github.com/LupoLab/Luna.jl ). More details
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latent variable models (especially factor analysis, item response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex, multidisciplinary
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response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex, multidisciplinary environment across multiple teams, with the ability to prioritize
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. This position will join research efforts in developing novel computational approaches, including AI/ML methods, interatomic potentials, molecular dynamics simulations, and exascale-ready codes for materials
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-dimensional statistics; nonparametric statistics; foundations of statistics and decision theory; applied statistics, with specific attention to large-scale applications in a wide variety of contexts
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administrative heath and economic data. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R), possibly theory development, simulation studies
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mathematical algorithm in codes and work on submitting papers Analyze theoretical and numerical results, summarizing findings in reports. Write and submit papers for publishing in peer-reviewed journals and
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resilience, and mitigate the effects of early adverse experiences. The CTN employs successive iterations of neuroscience research, theory building, and practice to drive the scientific knowledge base forward
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others Responsibilities Research Publications: Participate in preparation of scholarly publications, presentations, and research reports based on appropriate application of theories and analysis