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intelligently to make learning more sustainable and efficient, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer architectures. We invite
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dissertation close to submission in architecture (architectural history), art history, history, urban planning, and related subjects excellent knowledge of English other relevant language skills for researching
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