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performs world-leading research in nuclear structure, nuclear astrophysics, fundamental symmetries, and nuclear data. The Group also manages and operates world-class detector systems as part of the ATLAS
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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from 20 to 200 nm and temporal resolutions of less than 1 minute for 3D data acquisition. The PXM’s capability to operate at high X-ray energies (>20 keV) allows for enhanced penetration and reduced
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members on the experiment sides and also work closely with our theory collaborators to establish “read” and “write” of information using this optically addressable atomic memory. The candidate is expected
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collaborate with biogeochemists and computational scientists to analyze physicochemical and microbial measurements of soils and evaluate plant physiological data to enhance representations of wetland carbon
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information on the research activities in the Physics Division can be found at https://www.anl.gov/phy. Position Requirements Ph.D. in experimental nuclear, atomic physics, nuclear or analytical chemistry, or
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learning to engineering problems. Experience developing software packages, tools, and data sets for public use. Ability to synthesize effective data visualizations to communicate results from complex data
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quantum information. The scalable design, synthesis, and control of materials capable of hosting quantum states, such as silicon carbide and diamond, play an integral role in solid state platforms
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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candidates with a strong theoretical background in one or more subfields including topological materials, strongly correlated quantum systems, quantum dynamics, and quantum information theory. A particular