15 developer-"https:"-"https:"-"https:"-"Univ"-"St"-"St" Postdoctoral positions at Aalborg University
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of the position is two years. Your work tasks The main task of this postdoc position will dedicate on research and development of advanced process control augmented by some AI techniques, e.g., using reinforcement
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crystalline materials is often responsible for improved materials performance, but it is commonly overlooked in computational materials design. In this project, we will focus on developing accelerated
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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 Aalborg. Your work tasks The postdoctoral candidate will develop and evaluate interactive generative AI prototypes that serve as creativity support tools for architectural design practice. Findings
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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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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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: • 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
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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