59 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at ETH Zurich
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microorganisms can be used to produce high-performance biopolymers. The scalability and non-seasonality of this process will enable the sustainable manufacturing of biopolymer filaments, films and 3D structures
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beneficial Required people skills Highly self-organized and structured way of working and solution orientation High motivation and willingness to learn new skills High level of teamwork, positive work attitude
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-organized and structured working style with strong problem-solving ability High motivation and willingness to learn new skills Team-oriented mindset with a positive attitude and creativity Ability to work
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Structuring and follow-up of project ideas Execution and coordination pre-studies Preparation of industry and grant proposals Development of collaboration opportunities with other research groups Development
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100%, Zurich, fixed-term Impact Build is a new startup (ETH label pending) that aims to decarbonize construction through robotic manufacturing. Our core technology, Impact Printing, is an innovative
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, Engineering and Construction (AEC) for net-zero carbon infrastructure. Job description Development and maintenance of Python and C# libraries supporting XR-based research workflows in architecture and civil
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structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and
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experience is a plus but not required Interest in biophysics, developmental biology, or cell signaling (no prior experience required) Independent, proactive, and structured work style Master’s students
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical