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current power grid operation by incrementally conceptualizing asynchronicity using power electronics as a fundamental block. Inspired by the structural principles of the internet, the store-and-forward
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position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at
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University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
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processing, specimen preparation, microstructural and chemical characterization, and electrochemical performance evaluation. Depending on background and interests, the work may also involve exploring bio
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
limit values for the use of biobased materials in construction Providing guidelines for moisture levels in relation to moisture from the building process and the use phase of buildings and material
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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- ethnographic perspectives on legal and regulatory processes of infrastructure development - more-than-human perspectives on sustainable energy infrastructures - the valuation of infrastructure across
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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integrated energy systems that support the green transition. Your work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and