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/chemical, mechanical, and biomedical engineering as well as robotics and controls. ETH Zurich (https://ethz.ch/en/) is a global leader in science and engineering and consistently ranks among the top
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sciences, materials science, chemistry, or related fields. A working knowledge of polymer synthesis and hydrogel fabrication is required. Practical experience in one or more of the following would be
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. You will work at the interface of evolutionary biology, molecular evolution, geodynamics, Earth-system science, and planetary habitability. Your main responsibilities will include: Building up on
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projects, publish at top venues, and help mentor doctoral and Master's students. Profile A doctoral degree in mechanical or electrical engineering, computer science, robotics, bioengineering, materials
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degree in computer science, mathematics, statistics, or similar; candidates with a degree in (any) sports and a strong computational leaning are equally welcome Enthusiasm for data and sports
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related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental
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system developments. Contribute to the co-supervision of MSc and BSc students working on related research topics. Profile You will have: PhD in Computer Science or any related field. The successful
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platform , published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific brain regions
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an active role in securing competitive research funding. WHAT WE ARE LOOKING FOR You hold a doctoral degree in computer science, (applied) mathematics, physics, (bioscience) engineering
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benchmarks Debug common post-training issues, including optimisation instability, reward hacking, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science