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with regular waves. Extending the model to full two-way coupling, allowing feedback from flexible vegetation on wave-induced flow. Applying the fully-coupled model to simulate interactions under both
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-edge motion planning and control for next-generation autonomous underwater vehicles (AUVs). As part of a dynamic, interdisciplinary team, you will contribute to the development of an innovative AUV
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campus in Risø, just 30 minutes from Copenhagen, you will evolve within a dynamic, inclusive, and collaborative research environment, immersed in both academic excellence and real-world industry relevance
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in