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opportunity to work with a group of researchers to investigate the most efficient methods for sensor data fusion, training new algorithms for improving state-of-the-art scene understanding and tracking
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our state-of-the-art behavior analysis pipelines based on the latest developments in artificial intelligence and machine learning. You will train and guide collaborators during experimental design and
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and Risk Engineering Lab To address these points, you will have access to state-of-the-art computational capabilities, and you will be in contact with experts within ETH Zurich and worldwide. Your
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computer science and applied mathematics to develop state-of-the art generative machine learning models to design improved catalysts for these reactions. Your profile We are looking for a committed and motivated
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requirements for the data analysis and visualization of the results based on literature and clinicians’ input. Set up study protocol for a combined rTMS and NIRI stroke rehabilitation approach. Select, implement
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
Sequencing Consortium, and the successful candidate is encouraged to actively contribute to these efforts as well. We have access to ETH's high-performance computing cluster and state-of-the-art molecular user
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recorded by various instruments, including distributed acoustic sensing, acoustic emission sensors, and geophones. With these efforts, the PhD candidate will improve the current state-of-the-art of real-time
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the design, development, testing and maintenance of embedded systems of MYNERVA’s medical devices according to state-of-the-art technologies, best practices and applicable standards. Your contribution, in
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international city with broad access to outdoor activities, arts and culture, and other European cities, as well as a rich and excellent scientific community. In this context, we offer: Interdisciplinary research