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Postdoc – Performance requirements for biobased construction materials used in the building envelope
determining performance requirements of materials and decarbonized buildings. The position is available from June 1st, 2026, or as soon as possible thereafter. The position is temporary for 2 years and is based
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support for professionals at Aalborg University! This interdisciplinary project investigates how generative AI can be incorporated into the building design and operation process. Particularly, we seek
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation. The section undertakes internationally leading research and
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campus. Working at the intersection of plasma engineering, catalysis, and renewable energy systems, the postdoc will lead experimental design, reactor operation, and data analysis for the integrated plasma
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join our research activities focused on the development and long-term durability of SOEC cells, with particular emphasis on operation under technologically relevant conditions. Electrolysis and green
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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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collaboration with industrial and academic partners; access to advanced RF laboratory and high-performance computing facilities; and active contributions to publications, grant applications, and broader project
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algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
performances on pea plants. The position is available from the 1st ofNovember 2026 or as soon as possible therefter. Job description The aim of the project is to develop an AI-based phenotyping system for high