268 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Naturalis" positions in Switzerland
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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matter theory, machine learning, quantum materials, chemistry, as well as quantum technology. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
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out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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-oscillating meta-atoms, which will enable gain of energy from the metamaterial itself. Job description This research aims to engineer metamaterials enabling nonlinear topological protection of information
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and Health at the Department of Health Sciences and Technology at ETH Zürich (Hönggerberg Campus); regular group and 1-1 meetings; the possibility to lead your research project with a high degree of
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focuses on the history and theory of architecture and urbanism in a wider context of cultural history, including the history and theory of art, science and technology. Job description Conduct original
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and helping them leverage cutting-edge technology to stay ahead. Job description Take full ownership of the entire sales cycle (incl. strategy, targets, opportunity identification etc.) for both inbound
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze