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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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, 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
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems. Within this field, we are continuously developing and adopting various algorithms for multiple...