66 structures "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at ETH Zurich
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Thermal effects are a major source of geometric errors in modern machine tools. Accurate prediction of temperature fields inside machine structures is therefore essential for improving machining
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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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of key novel optical components. The primary objective of the PhD is to actively participate in the instrument construction phase, leading the design and manufacturing of key subsystems, and contributing
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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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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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the geological structures and potential reservoir Integrating extensive passive seismic recordings and borehole seismic data (including vertical seismic profiling, VSP) into the imaging and characterisation
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opportunity to work with leading experts across Europe to design and deliver sustainable meta-materials for vibration mitigation, self-aware meta-components and carbon-efficient meta-structures
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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