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Field
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 23 hours ago
manufacturing initiatives that advance U.S. energy security, grid reliability, and national competitiveness. EDF works closely with private-sector partners, other federal agencies, and key stakeholders to finance
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characterization of spin coherence during shuttling Shuttling-compatible demonstration of high-fidelity qubit control Demonstration of T-Junctions (Fig. 1(b)) as step towards qubit grids Advancement of a shuttling
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid
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one or more of the following will be given priority: Cryo‑EM grid optimization, data collection (Krios/Glacios), and reconstruction workflows Structural analysis of dynamic/heterogeneous complexes
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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. Related fields, including hydropower and power grid modeling, hydraulic engineering, and sediment transport. The successful candidates must demonstrate an ability to work independently, evidenced by
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for the integration of renewables and the electrification of energy consumption. Through digitalisation, power networks become Smart Grids that can monitor energy flows and adjust energy supply and demand accordingly
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). Demonstrated research record (publications, open-source code, or equivalent). Preferred Qualifications Experience with microgrids/shipboard power, demand response of flexible loads, and grid cyber-physical
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by Aix-Marseille University’s salary grid and considering previous postdoctoral experience. Selection process Applications including a detailed CV, a motivation letter and two letters of recommendation
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approaches to remove atmospheric particulate (e.g., PM2.5) pollution. The math-based subgroup focuses on the use of deep learning and generative AI to address critical problems for the electric grid and broad