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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute to pioneering research at the interface of materials science
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Do you want to launch your scientific career by developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute
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project titled Transforming University Science Education in the New Media Era: Practices, Technologies, and Disciplinary Thinking. About the position as research assistant Centre for Educational Development
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
Denmark (SDU) invites applications for a PhD position in detector development for the next generation of cryogenic dark-matter axion experiments. The successful candidate will contribute
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learning from demonstrations and generalisation to unfamiliar tasks, objects or environments. World models and planning Develop models that predict how the physical world responds to actions, supporting
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. You will be involved in the further development and application of the FlexSem model system, which is a framework developed by the model group to describe the dynamics of coastal marine systems
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, The University of Queensland (UQ), Australia, and Danfoss. You will join a highly interdisciplinary research environment and work closely with leading academic and industrial partners to develop next-generation
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to investigate how the ice sheet and ocean have varied and interacted beyond the relatively short observational period. As a PhD fellow, you will develop high-resolution reconstructions of Greenland
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, processes, and practices, and how educational institutions prepare students to navigate these changes and contribute to the development and implementation of AI. The project may draw on perspectives from
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and