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Field
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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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such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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of the project, contributing to the development and demonstration of smart grid solutions for the management of renewable energy communities. Analysis of regulatory, technical, and market frameworks related
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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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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The responsibilities of a research assistant involve developing technical solutions aligned with
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AIix-Marseille University/A*MIDEX | Marseille, Provence Alpes Cote d Azur | France | about 2 months ago
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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. 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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of a protein-protein or protein-nucleic acid complex (sample preparation, grid preparation, data collection, structure determination and molecular modeling) be proficient in biophysical (ITC, MST etc
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Arunachalam in IE-CEMPD, to to a) apply instrumented versions of regional-scale grid model applications to assess individual source sector contributions, and b) develop quantitative estimates for air quality
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closely related field at the time of appointment. Preferred qualifications ● Domain knowledge in energy studies, power systems, renewable energy grid integration, and optimization models. ● Extensive