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political objectives, which is further complicated by the development of new technologies and societal demands for sustainability. Within this context, the PhD application should reflect an independently
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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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environment. A working environment with a focus on professional development and well-being There are many good reasons why you should choose a working life at GEUS. We are a diverse staff of about 300 committed
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, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
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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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interglacial periods. These past warm intervals provide important perspectives for understanding the evolution and future trajectory of the Arctic under continued climate warming. You will work with a
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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
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
than 1 November 2026 (23:59 Danish time). Apply online here: PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction Applications must be submitted as one PDF
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or TensorFlow, and be motivated to combine theoretical work with algorithm development and experimental validation. We value curiosity, independence, and the ability to collaborate across disciplines in
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation