156 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "J" uni jobs at ETH Zurich
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content. You will also compile the event program booklet. In this role, you will maintain regular communication with your colleagues at CEMETS and the Chair of Education Systems. The position is starting as
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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, including transcript if currently enrolled in MS program Contact information for 2-3 references Please note that we exclusively accept applications submitted through our online application portal
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demo and pilot a success that builds confidence, trust, and long-term customer relationships. Your Contribution Plan, organize, and execute customer demonstrations and pilots, including equipment
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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Translational Center’s Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in
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. You have a solid background in computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis
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computational mechanics to work on a project focused on the mechanics of colloidal systems. The PhD candidate will conduct research in a collaborative project with partners from the ETH Department of Materials
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even