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mechanisms, namely the remodelling of membrane lipids. Lipid remodelling is a process whereby bacteria selectively modify their membrane lipid composition in response to a particular environmental stimulus
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variations in the chemical composition of the steel produced, which may affect the performance of the steels during processing and service. This is particularly true for stainless steels undergoing phase
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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9 Oct 2025 Job Information Organisation/Company Ghent University Department Materials, Textiles and Chemical Engineering Research Field Chemistry » Organic chemistry Computer science » Modelling
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on understanding how mechanical cues in the microenvironment influence the development, shape, and fate of these models. Key responsibilities include: Engineering Composite Hydrogels: Design and construct novel
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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hoods for materials research . These facilities represent Queen Mary's commitment to renewable energy research, with research expertise spanning material development, processing, characterisation and
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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groups are strongly encouraged to apply. Your Tasks: Development and application of algorithms for modelling, evaluation and visualization of ultrafast processes Investigation of ultrafast dynamics in
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dynamics resulting from varying compositions. An adaptive Model Predictive Control strategy is envisaged for this challenge. During the four-year doctoral programme, you will contribute to the group's R&D