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and use machine learning methods (mainly graph neural network architectures) to design representations and transferable energy models for proteins and materials. The position will serve to develop your
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(graph neural networks, diffusion models) with quantum chemistry and molecular simulations, the project aims to accelerate bottom-up material discovery for applications ranging from life sciences
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