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that act as autonomous micro-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine
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teaching responsibilities (20%) in courses offered by the Chair of Geoinformation Engineering. Profile The ideal candidate must have an academic degree in Geoinformatics, Transportation, Computer Science
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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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. Sus.lab is part of the Group for Sustainability and Technology (SusTec) at ETH Zurich. As a “think-and-do-tank,” we work with industry, policymakers, and academia on topics such as carbon dioxide removal
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research projects, other qualifications, if any, must be included) Certified copy of Academic Degree/s in original language along with a certified translation into English, and/or Diploma Supplement
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is desirable. Strong programming skills are necessary. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations at ETH (funding secured for 4
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insights, and help drive biological and technology-focused publications. Contribute to biological manuscripts and computational methods papers, present results within the lab and at conferences, and help
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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that unites researchers, entrepreneurs, and industry leaders to explore how AI transforms science, technology, and society—showcasing cutting-edge research and cross-disciplinary collaboration from three
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20%-30%, Zurich, fixed-term The KOF Swiss Economic Institute at ETH Zurich is the leading institute for applied research in economics in Switzerland. KOF has a strong collaborative environment that