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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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, 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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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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is expected that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 February 2027. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific
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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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highly advanced STM/AFM techniques that have been developed at the Nano-Sceince in Beijing. This will create the foundation for the secondary goal, using the hydrogen bond geometry measurements along side
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the best of opportunities for each of our researchers to develop their own unique competences and to secure a strong societal impact. About the PhD programme The three-year PhD programme at CBS gives you the
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. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional and modern ML and