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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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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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genetic elements, genome plasticity, microbial gene and cellular regulation, antimicrobial resistance or evolution. We welcome all experimental microbial models (e.g. bacteria, archaea, unicellular
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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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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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Student Project House (SPH) we inspire and empower students to cultivate a mindset of makers and innovators. We believe that by exploring their ideas and developing their own projects, students gain
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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
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tools and insights for the optimal design of policies that affect electric vehicle (EV) charging and the electricity system. The PhD student will contribute to the development of exciting new methods