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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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outcomes. Curious? So are we. We look forward to receiving your online application with the following documents: PhD certificate CV Publication list with a clear statement on own contribution 2-page proposal
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
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founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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, documentation, and experimental implementation Profile PhD in Mechatronics, Robotics, Electronics, or related engineering areas Proficiency in mechanical design, embedded systems, and hardware-software
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approaches. Profile PhD in biochemistry, analytical chemistry or related fields, with at least 3 years demonstrated practical experience in proteomics sample preparation, LC-MS/MS and data analysis and data
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high-performance computers to better understand our planet and to address pressing environmental and societal challenges. The heart of ETH Swiss GeoLab will be a technological platform designed to
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The Plant Ecology Group at ETH Zürich, led by Professor Janneke Hille Ris Lambers, is seeking an enthusiastic PhD candidate to study how seed and seedling pathogens influence forest regeneration