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flows, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep
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research Education You should have recently completed (within the past five years), or be close to completion of a PhD in applied mathematics, computational science, physics, engineering or a closely related
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. The overarching goal of this research line is to connect deep biological understanding, spanning evolution, biomechanics, materials and neural computation, with concrete space applications, turning nature-inspired
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