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in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of solid-state batteries, in addition to a first-class bachelor or master’s degree in
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allocated at the Division of Solid-State Electronics, the Department of Electrical Engineering. Here you will find a friendly work environment with dedicated colleagues and a variety of experimental projects
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Postdoc Position in Microbial Drivers of Land Subsidence Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 12 January 2026 Apply now
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(NOBV ) aims to monitor and evaluate measures designed to reduce greenhouse gas emissions and mitigate land subsidence in Dutch peatlands. One important aspect of these efforts is obtaining process
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
understanding of land cover/ land use controls on inland aquatic and marine environment conditions * Constrain modeled outputs of water quality conditions in marine environments with in situ and remote sensing
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We are seeking a full-time Postdoctoral Research Associate in Computational Mechanics for Solid State Batteries. The post holder will be based at the Department of Engineering Science (central
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. Additionally, we are committed to advancing thermal energy storage technologies, all-solid-state batteries, green hydrogen and green ammonia production and storage methods. Through these activities, LIMSET plays
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We are seeking a full-time Postdoctoral Research Associate in Computational Mechanics for Solid State Batteries. The post holder will be based at the Department of Engineering Science (central
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, the center houses three other NMR spectrometers (500 MHz WB, 800 MHz NB, and 1000 MHz), all equipped with solid-state NMR hardware. The CRMN's NMR research groups are internationally recognized, particularly
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use