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integration across several storylines (Financial stability and supply chains; Heat and health; Climate tipping points and abrupt changes). In this role, you will be a natural science and inter
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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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commitments Profile We are looking for a proactive, highly motivated and well-organised person, studying for an MSc (or equivalent Master's degree) in a quantitative discipline (such as engineering, informatics
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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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, 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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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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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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The Department of Mechanical and Process Engineering (D-MAVT; www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position at the tenure-track assistant professor
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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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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