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. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
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on Human Factors in Computing Systems, Lancet Digital Health, npj Digital Medicine). You will also be involved in teaching activities.
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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facilitate effective data management, analysis, and visualization for researchers. By acting as an interface between the two domains Research and Informatics, R-IT helps ensure seamless communication and
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the goal to improve our understanding of the atmospheric cycling of the essential micronutrient selenium (Se) by integrating measurements and a computational atmospheric Se model. Knowing the chemical forms
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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highly supportive infrastructure, including state-of-the-art core facilities. Main tasks – Research: Establish a research program in the field of eukaryotic gene expression and/or functional genomics; use
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multidisciplinary research program and collaboration network in the area of Culturomics. Promising candidates possess an interdisciplinary profile that combines outstanding microbiological expertise with excellent
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80%-100%, Zurich, fixed-term As ETH's central hub for artificial intelligence, the ETH AI Center brings together researchers of AI foundations, applications, and implications across all departments. We foster research excellence, industry innovation, and AI entrepreneurship to promote...
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by