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-driven methods for structural analysis under multiphysics loading”. Expected start date and duration of employment This is a 4–year position from September 1st, 2025, or as soon possible. Job description
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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on electric machine drives and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control
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tariff scheme (TV-L Brandenburg), salary group E 13. The full-time position for the Postdoc has a weekly working time of 40 hours (100%). It can also be filled on a part-time basis. The position will be
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that are motivated to help each other are highly encouraged to apply. Please describe in your summary of current work what type of analysis and tools you would like to develop in the lab, based on your previous
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Posting Details Posting Details Posting Number S06369P Position Title Post-Doctoral Research Associate Functional Title Department Psychology Salary Range $61,008, DOQ Pay Basis Monthly Position
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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About the role You will undertake original research on the technical integration and economic evaluation of second life batteries for power grid energy storage, focusing on clean electricity access
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analysis of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principle investigator and research staff in which you will evaluate
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evolutionary and molecular vulnerabilities in cancers. HT provides state-of-the-art experimental and computational infrastructure, including genomics, imaging, data analysis and high-performance computing