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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering
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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural
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Phenomenology including Physics beyond the Standard Model, Dark Matter, Axions, Higgs and Collider physics, Neutrino physics and astrophysics; Cosmology including Large Scale Structures, Physics of the Early
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mentor junior researchers. Flexibility and motivation to learn new concepts Very good English (spoken and written) Relocating to Bolzano Desirable: Experience with snow models or SWE estimation from remote