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risk analysis. Computational dosimetry using stylized, voxel and mesh-type anthropomorphic phantoms Compilation and evaluation of radionuclide decay data and the construction of environmental source
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the last 5 years Experience in multivariate statistical procedures and basic modelling Data analysis and management programming experience in R or Python GIS experience Excellent written and oral
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to work assignments. This position requires analysis of complex scientific and engineering information to determine the classification of documents. The Senior Classification Analyst will perform
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problems. Major Duties/Responsibilities: Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals Develop statistically defensible algorithms to identify and
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contribute and succeed. Basic Qualifications PhD in data science, mathematics, physics, or engineering with a minimum of 8 years of relevant experience, or MS in these areas with a minimum of 12 years
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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techniques; and (3) developing advanced methods for inelastic neutron scattering data analysis and workflow automation. The postdoctoral researcher will work in close collaboration with Dr. Raphaël Hermann and
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properties, validating simulations, and providing guidance on formal design, test planning, data analysis, and fabrication in collaboration with stakeholders. The role also involves collaborating with external
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Fuel Fabrication (PFF) Group as a highly motivated individual with expertise in applying advanced characterization technique and data analysis skills to coated particle fuels. The PFF group is dedicated