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sea conditions over different time and space scales, investigating how wind farm yields may be impacted by proximity of neighbouring wind farm clusters, and understanding different kinds of extreme
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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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in research and development of sustainable energy conversion technologies. We are recognized as global leaders in this field, supported by state-of-the-art facilities and deep expertise. Our
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related to LCA, HRI, and construction safety, health, and well-being. The projects target predictive LCAs for 3D printing using Fabrication Information Modeling (FIM), run-time autonomous data collection