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to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 10/02/2026 Post Doc
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that focuses on the manipulation of collective spin excitations in magnetic materials. The use of magnons for classical or quantum information transport is being considered as a long-term prospect. In
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the scientific applications by comparing results from quantum simulations directly with experimental measurements and classical simulations of quantum materials. This work will include benchmarking simulations by
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characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and
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to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 08/31/2026 Post Doc
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will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Application deadline: 31.08.2026 Post Doc
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
atmosphere coupled models. The present post-doc position aims to explore the mathematical analysis of a variational formalism [3], recently proposed by A. Debussche and E. Mémin for the incompressible Euler
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Scholar Position Title Post-Doc Research Associate Vacancy ID PDS004941 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US
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closely related quantitative field in hand by the start of the appointment. ● Demonstrated expertise in molecular dynamics simulation and enhanced-sampling techniques (e.g., Gaussian accelerated MD/GaMD