264 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Switzerland
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for this PhD position are expected to have an excellent MSc degree in Chemical Engineering, Material Science, or Chemistry. Experience and knowledge in material synthesis and/or (structural) material
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. The successful candidate will bridge biological, behavioral, and cultural data to understand the emergence of gendered power structures across taxa and ecological contexts. While strongly rooted in evolutionary
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Simulation and Metrology at inspire offers in collaboration with ETH Zurich the following position
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80%-100%, Zurich, fixed-term At Veltist – a Wyss Zurich project – we are reshaping post-operative care through our platform technology Anastoseal, enabling the next generation of implantable
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100%, Zurich, fixed-term ETH Zurich is one of the world’s leading universities that specialize in science and technology. It is renowned for its excellent education, its cutting-edge fundamental
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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proteins Conduct quantitative binding experiments (protein-protein and protein-DNA interactions) Produce stable complexes between proteins and/or DNA Determine structures of proteins/complexes Design mutants
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proteins. Conduct quantitative binding experiments (protein-protein and protein-DNA interactions). Produce stable complexes between proteins and/or DNA. Determine structures of proteins/complexes. Design
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At ETH Zurich, in close collaboration with the spin-off optohive, we are developing a new generation of functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain