189 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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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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, 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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. 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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Topic A: Automation and Monitoring for an Internal Development Platform Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research
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Tethys Robotics develops innovative underwater robotic solutions for inspection & investigation operations in challenging conditions. We serve clients such as large asset operators and industrial service providers operating in high-demand sectors including offshore wind, oil and gas, but also...
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training