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Field
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cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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28 Jul 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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is expected to contribute to foundational research in dynamic modeling, stability analysis, and control of coupled data center–grid systems. Emphasis will be placed on developing new theoretical
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Researcher (R1) Positions Postdoc Positions Application Deadline 10 Aug 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Dec 2026 Is the job
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A three-year postdoc position is available in modelling of solid-state NMR experiments from 1 October 2026 (or soon thereafter) in the Danish Center for Ultrahigh-Field NMR Spectroscopy
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Guenther How to Apply A complete application consists of: An application, including academic history, work
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) modeling of exoplanet atmospheres, including radiative transfer and photochemistry across diverse planetary scenarios; and (4) simulations of the formation and evolution of small exoplanets, including
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-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control