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project of this initiative is the Large Language Model (LLM) effort, which aims to create state-of-the-art language models at various scales, including an ambitious 70B parameter model. This work leverages
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, or a related field Programming experience (e.g., Matlab, Python) Experience with at least one electrophysiological recording method or related experimental method listed above The ability to design and
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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understanding of effects related to high electric field strengths and voltages and their application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission
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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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responsible, together with other members of the department, for teaching undergraduate (German or English) and graduate level courses (English) for students of mathematics, natural sciences, and engineering
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courses, practical work, management). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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excellent organizational skills (workshops, meetings, calls, etc.), exhibit exceptional communication skills both in person and in writing (English fluency is essential, German is a plus), and have the
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language models, can be leveraged to learn from system developers’ documentation, then assist the system developers and finally propose modifications to the system developers. This will support digital