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In this role, you will lead projects centered on the design and development of innovative experimental testing systems and their digital counterparts. You will be responsible for the conception
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and develop soft matter characterization techniques, including rheology, microscopy, and spectroscopy. Analyze structure–property and structure-function relationships in mycelium-based systems. Scale-up
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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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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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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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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-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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, 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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. Both doctoral students will work with configurations of the ETHZ version of the Regional Oceanic Modeling System (ROMS) that we have developed over the last decade.
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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