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programmes funded by the Swiss National Science Foundation for up to 12 years, designed to achieve both scientific and societal impact. NCCR AntiResist (2020-2032) is a Swiss-wide interdisciplinary consortium
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data processor. Collaboration: Engage actively with an international team of scientists, engineers, and partner institutions. Communication skills and the ability to work collaboratively are essential
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platforms such as novel biosensors, gene switches, genetic closed-loop circuits, and chemical structures that interface with and actuate cellular activities, we design programmable cellular implants and
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members of the Plant Ecology Group contribute to teaching and mentoring Bachelors and Masters students. Please see this website for more information on the doctoral program in the Department
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience
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, and innovation-driven work environment. Benefits according to ETH Zurich’s employee benefits program. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our
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About us NCCRs (National Centres of Competence in research) are national programmes funded by the Swiss National Science Foundation for up to 12 years, designed to achieve both scientific and
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PageFunding Mission GRC Grants back GRC Grants FAQ Short Grants Apply for Grants: FAQ Close Menu Engagement back Overview PageEngagement Awards Knowledge exchange Action plan 2025/26 Guidelines & Quality
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or