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volumes, there is a plan to utilize modern machine learning strategies like "physics-informed neural networks." One of the main advantages of this approach is that measurements and observations made
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network shall be used for propagating live measurement data from sensors distributed over a volume in the ocean to a sink. Each of these sensors measures physical parameters such as e.g. temperature
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should find solutions to address the challenges related to implement trustworthy AI-based NMB. The PHD student is responsible to explore and develop physics aware AI models for maximizing NBM flexibility
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