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) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
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through lattice chemistry. The goal of the doctoral project is to explore the potential of the chemistry of the lattice (charged off-stoichiometric layers, chemical variation in layered compounds, etc
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range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international
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80%-100%, Zurich, fixed-term The Department of Computer Science at ETH (D-INFK) is offering a new Master of Advanced Studies (MAS) in AI and Digital Technology. This is a continuing education
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mentoring programme. Support the development and implementation of training and capacity building of relevant stakeholder groups. Engage with various stakeholders from the private and public sectors as
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is essential. Good knowledge of German is beneficial. Workplace Workplace We offer ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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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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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored