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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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. Work with T&D software (e.g., OpenDSS, PSS/E) to gather data, run simulations, and assess grid-wide impacts. Additionally, candidates will: Collaborate with multidisciplinary teams to develop innovative
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and Python) Knowledge of data analytics and statistical methods Demonstrated strong scientific writing skills and oral communication Ability to work both independently and collaboratively as a team
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geometry manipulation with computer-aided design software. Experience with coupling CFD and FEA codes. Knowledge of multi-dimensional code development (in C++/C/Fortran) for two-phase/multiphase flow and
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with computer-aided design software. Knowledge of deep machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis of large datasets, and