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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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background in quantitative methods and experience in analyzing secondary data Experience of working in low- and lower-middle-income countries and/or experience of statistical learning methods would be
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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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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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is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns, and make biomechanical simulations embedded in the generative
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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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system design. We employ advanced computational methods, machine learning, modeling, and custom hardware and software to continually test our solutions in various real-world industry projects. In one
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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
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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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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