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of computationally efficient data-driven control and machine learning methods that enable deployment on edge devices with limited computation. We are looking for a motivated doctoral student to contribute
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, or HCI methods familiarity with adaptive systems or machine learning prior experience conducting user studies Beneficial background in computational interaction or adaptive systes knowledge of optimization
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20%-40%, Zurich, fixed-term The Public Policy Group at ETH Zurich invites applications for a research assistant in quantitative social science for a project using machine learning to improve refugee
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professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by
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to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various
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contribute to diverse machine learning projects across ETH's research and administrative domains, developing and implementing scientific computing solutions to support various projects. Throughout all your
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, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits The Mucosal Crosstalk group of Dr. Annika Hausmann (SNSF
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Manager you will drive the ETH AI Center’s sales and outreach activities to acquire new industry partners for the Swiss National AI Institute (SNAI) in close collaboration with the EPFL AI Center. You’ll
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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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would be available for a start in winter 2026. We are looking for highly motivated, committed, creative and eager to learn individuals, able to work in a team and with excellent communication skills