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concerns the automatic optimisation of vehicle performance, and reduction of environmental impact, based on high-fidelity numerical simulation. To reduce the cost associated with the large number
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parts that are exposed to a hostile environment and several loading sources where combining stability with high-performance power generation is the primary FOWT difficulty. The control plays an important
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performance, providing an effective means to adapt to diverse conditions and system requirements. The labels required for supervised learning, particularly high-quality labels, are often costly to obtain due
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Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 31 Mar 2025 - 23:59 (Europe/Paris) Type of Contract Not Applicable Job Status
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10 Feb 2025 Job Information Organisation/Company Université Gustave Eiffel Department LICIT-ECO7 Research Field Computer science » Digital systems Engineering » Civil engineering Environmental