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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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. We are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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quality journals Personal and professional development support You will be based at Empa in St. Gallen (Claudia Som, principal supervisor, Dr. Roland Hischier and Prof. Dr. Bernd Nowack, co-supervisors) and
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Workplace We offer Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. We are actively
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experience includes primary cell culturing, work with advanced in vitro models, epithelial/endothelial barrier characterization, and iPSC differentiation; skills in optical microscopy, sensor development and
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. 10007007; project start 01.10.2025: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development
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independent analytical work with active participation in joint project planning, interpretation, and dissemination of results. Your responsibilities will also include the development and maintenance
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), sorbent properties (e.g., surface charge, specific area), and solution chemistry. Through this work, we aim to support model development and inform regulatory frameworks, in close collaboration with
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development of innovative acquisition and processing techniques to study the Earth’s shallow subsurface. Project background Switzerland has committed to achieving net-zero greenhouse gas emissions by 2050. CCS