216 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" "https:" positions at ETH Zurich
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background The highly interdisciplinary project is about the development, characterization, modeling, and application of micro-and nanoscale ultrasound contrast agents for molecular imaging fo a variety of
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at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for PhD and postdoctoral positions in pioneering projects developing synthetic
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researchers’ requirements into practical RDM solutions through development and integration of modern RDM software systems (e.g., plugins, web apps, workflows). You will work closely in a team of SIS experts
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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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Communicate and promote events through social media, our web pages and in collaboration with our communication specialists Collaborate closely with our academic and industry partners, affiliated startups, with
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drive in developing these skills is expected. Since many research tasks involve researching and summarizing media and government websites, policy reports and research papers in German and English (and
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-scale scientific infrastructures. For more information please visit our website . The project team includes a second PhD student (hosted at SLF Davos and the University of Zurich) and a dedicated software engineer
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that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. chevron_right Working
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affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public Policy
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. **The starting date is upon agreement** Job description You will identify critical knowledge gaps, develop and apply machine learning models, statistical analyses, and AI-driven tools to analyze large-scale