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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
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, fatigue, corrosion, and biofouling ) of subsea structures. Derive limit state functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and
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. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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AI-driven creativity with clear environmental performance feedback early in the architectural design process. This phase is characterized by high uncertainty in data availability and design parameters
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material technologies - this PhD position offers a unique opportunity. As part of MET2ADAPT, you will investigate some of the most challenging and high-impact questions surrounding the validation
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-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic-resolution
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part of MET2ADAPT, you will investigate some of the most challenging and high-impact questions surrounding the validation, certification, and long-term performance of next-generation wind turbine
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functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
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sensitivity study to reliably assess the impacts of key sub-models (e.g., green fuel combustion mechanisms, radiative heat transfer, turbulence mixing models) and to evaluate the effects of key operation