15 developer-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Aalborg University in Denmark
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for a two-year postdoc, ideally starting August 1st, 2026. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
existing materials as well as new products, covering both new buildings and renovation. Focusing on developing robust solutions that enhance the sustainability of construction, including increased use
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the interplay between human actors, technological systems, work practices, and organisational and infrastructural conditions, the project investigates how these relations can develop into sustainable and
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and is available from 1 May 2026 or as soon as possible thereafter. You will join the Section for Electric Power Systems and Microgrids at the Department of Energy and contribute to developing future
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop digitally, we also focus
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation