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evaporation, magnetron sputtering, spin-coating, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. In line with our values , ETH Zurich
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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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100%, Zurich, fixed-term Our research group in the field of Digital Biomarker research (Health Informatics) is looking for a new PhD student starting as soon as possible. The position is based in
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Dynamics , which pursues a broad range of experimental, numerical and theoretical research efforts in a friendly and inclusive environment with state-of-the-art infrastructure. The blood-brain barrier (BBB
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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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high-pressure and high temperature experimental (laser-heated and externally-heated diamond anvil cell, large volume press, and piston-cylinder apparatus) methods, eager to contribute to cutting-edge
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are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ
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features. Additionally, as part of the SDSC, you will be part of a dynamic team working on applying machine learning methods to various fields, from environmental to political sciences, which will allow you
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-, landscape-, and regional scales. Assess and address scaling-related distortions in forest dynamics forecasts and ecosystem service evaluations; develop methods to reduce these effects. Develop measurable
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to enhance stability, reduce variability, and enable data-driven optimization and maintenance strategies. Job description Your Tasks Develop and implement AI methods for in-process monitoring of surface