85 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " research jobs in Switzerland
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- University of Basel
- ETH Zürich
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- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
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- Paul Scherrer Institut Villigen
- EPFL - Ecole Polytechnique Fédérale de Lausanne
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- EPFL - Ecole polytechnique fédérale de Lausanne
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The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies
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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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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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., maintenance of lab records and study materials, participant recruitment, support relating to teaching). Your profile You are enrolled in a Bachelor program at the University of Basel, preferably in psychology
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., Cell Reports 2024). This discovery may spur further advances in reprogramming technology and lead to new therapeutic approaches in reproductive and cancer medicine. Your position You will actively
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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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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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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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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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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