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of the tropical ocean to expose the mechanisms and impacts of submesoscale air–lake coupling via a novel buoy observing network and cutting edge simulations. You’ll be part of a five member ERC team (PI, technical
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Institute (IvI) and which is a cross-institute collaboration at the Faculty of Science aimed at bridging the gap between modern machine learning developments and their applications to the different areas
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the relativistic time dilation by only 1cm height difference in the gravitational field of earth. They are useful for searches of physics beyond the standard model, exploration of many-body physics, and societal
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging