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correspondence in German and English, conduct research, and support monthly expense processing and travel planning. In your secondary role as Team Assistant for three project managers, you provide administrative
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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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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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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
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, conceptualizing and bringing projects to life You have demonstrable experience with digital tools (e.g. Docker, networking, Unix, Windows) You’re proficient in at least one programming language (e.g. Python
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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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Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
and cohort studies Proven managerial skills in leading and managing a large team of researchers and in international collaborations Ability to set up research programs supported by expert external
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a robust predictive framework that enables precise prediction of reaction outcomes. The project is part of an international collaboration with the German Priority Program on the “Utilization and
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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