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to collaborate within their field of expertise. Engagement in research environments beyond the host institution is expected, for example through shorter or longer research stays at other research institutions. In
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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computing environment. A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass transfer, electrochemistry, or control engineering. The ability
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of the project's conceptual framework on school emotions and not liking school and participate actively in an interdisciplinary research environment that brings together educational history, history of emotions
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differences between China and Denmark. The PhD candidate designs and carries out an original research project that asks how institutional environments shape firm-level AI adoption, organisational capability
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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic
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to the development of clean and sustainable energy systems. Our activities cover electrical, thermal and mechatronic energy technologies, and we work closely with industrial partners and other academic environments