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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study operational decision making with data science. This
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-prevention antibody/nanobody program from discovery toward the clinic (start immediately or by arrangement). Your path: from fellowship to founding Over the 12 months you will drive the antibody program toward
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, engineering, and biology, developing new measurement and modelling approaches that transform what is possible to learn from individual cells and from minute amounts of molecular material. Three major research
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Computer Science or a closely related field Solid hands-on experience with Unity Experience with augmented reality (AR) development, ideally with ARKit, ARFoundation, ARCore, Meta Quest, or comparable frameworks
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be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
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performance of the underlying compute infrastructure, overlapping with ML systems performance engineering Contribute to systemic improvements in CSCS-based resources (network, storage, scheduling) relevant
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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cooperation with international consortium partners Profile A Master’s degree in urban analytics, artificial intelligence, computer science, transport planning/engineering, geomatics, or a related field A good
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The Department of Health Sciences and Technology (www.hest.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The focus of this new professorship will be