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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing
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prevent over-consumption of fatigue life while balancing optimal production. This doctoral research will seek to speed up physics-based simulations of wind turbine structural responses through machine
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monitoring of different sources of N fluxes in the system. He/she will need to contribute to the optimization and implementation of advanced sensing platforms for the collection of data on soil N, more
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/she will need to contribute to the optimization and implementation of advanced sensing platforms for the collection of data on different forms of nitrogen, more specifically nitrogen in manure and bio