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, control engineering, and immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle
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biomedical applications. We also develop experimental techniques to observe and characterise high-speed multiphase fluid phenomena optically and acoustically. The group is part of the Institute of Fluid
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of this project are (1) to improve monitoring efforts by developing widely accessible analytical approaches to quantify chloronitramide and (2) to investigate the impact of common water quality parameters
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, rearing various insect species, and helping students and staff prepare their experiments. Profile You must be a current Bachelor or Master student at ETH or UZH, fluent in English, and comfortable working
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PlanetS, and we support your professional development. We highly value integrity, teamwork, openness, scientific curiosity, diversity and empathy. chevron_right Working, teaching and research at ETH Zurich
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together to develop solutions for the global challenges of today and tomorrow.
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support throughout the PhD journey flexibility in designing and pursuing own research ideas within the scope of the overall project collaboration with national and international partners to develop a
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-term adaptation. The project will provide urgently needed knowledge for developing adaptive silvicultural strategies to sustain ecosystem services in beech-dominated forests. Job description You will
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engineering, and immunoengineering. Project background This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our