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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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interdisciplinary team including computer scientists, experimentalists and clinicians. ■ You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your
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, qualitative insights. FiRES has now reached the analysis and write-up phase, examining factors that enable people to prepare for, adapt to, manage, and recover from wildfires. It seeks insights that can enhance
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100%, Basel, fixed-term The Laboratory for Biological Engineering (Prof. Randall J Platt) of the ETH Zurich in Basel, Switzerland develops genome engineering technologies and applies them to a range
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Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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research groups (from University of Zurich and University of St.Gallen). The ETH AI Center Fellowship program is one of Europe’s premier Post-Doc programs focused on advancing interdisciplinary AI research
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The ETH AI Center offers a unique fellowship program for doctoral students, designed to foster interdisciplinary collaboration and a positive impact to society. The ETH AI Center promotes
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At the ETH Student Project House (SPH), we inspire and empower students to cultivate a maker-innovator mindset. We believe that by exploring their own ideas and developing personal projects