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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible
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collaborations with other academic partners, industrial companies, and agencies – in Switzerland, Europe and worldwide Maintains an academic and industry network in Switzerland and beyond, to understand
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large language models. Project background Language is a skill unique to humans among other animals. However, little is known about the neurophysiological processes that enable the construction of complex
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within a venture-focused and fast-moving company. Access to an exceptional network across ETH Zurich, Empa, Wyss Zurich, and our clinical partners. Further benefits according to ETH Zurich employee
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exploitation for network design. The SCF staff works closely with the Lab Automation Facility (LAF) team, which develops and maintains complex robotic setups integrated with readout technologies such as high