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combine quantum computing and AI to achieve a measurable, real-world advantage? Profile A Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning
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experimental challenges Applicants should hold, or be close to obtaining, a Master’s degree in physics, electrical engineering, photonics, materials science, or a related field The position will involve
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, identifying risks and contributing to progress reporting. You communicate clearly and diplomatically with researchers, educators, program staff, technology specialists and senior stakeholders, and you are
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100%, Zurich, fixed-term We are seeking a highly motivated postdoctoral researcher to join our group at the Department of Biology, ETH Zurich. The successful candidate will use state-of-the-art
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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100%, Zurich, fixed-term The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative doctoral student who specializes in computer vision. The position can
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Program surveys in Qualtrics create documentation such as questionnaires, codebooks and technical reports support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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100%, Zurich, fixed-term Our group investigates new ways of controlling and confining electromagnetic waves through time as an active design dimension. Rather than engineering wave propagation
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inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from
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The Chair for Physical Chemistry of Building Materials is part of the Institute for Building Materials within the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. It offers