199 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at ETH Zurich

  • ETH Zurich | Switzerland | 1 day ago

    looking for student research assistants with a background in computer science, data science, or related fields to support interdisciplinary research projects at the intersection of data science, artificial

  • ETH Zurich | Switzerland | about 10 hours ago

    background Organogenesis, the formation of organs during embryonic development, depends on tightly coordinated cell signalling, growth and mechanics. Our group combines quantitative imaging data with

  • ETH Zurich | Switzerland | about 10 hours ago

    10%-30%, Zurich, fixed-term As part of Grid2050 and NCCR Automation, we are building a high-performance, secure, and fault-tolerant data infrastructure to power cutting-edge energy research

  • ETH Zurich | Switzerland | about 10 hours ago

    and simulation. Project background Digital twins of living systems are a hard computational problem: nonlinear, high-dimensional models with uncertain parameters that must be fitted to noisy data, and

  • ETH Zurich | Switzerland | about 10 hours ago

    communication. The lab offers a highly collaborative, international research environment at the interface of vascular biology, muscle physiology, and metabolism. For more information on the lab, visit

  • ETH Zurich | Switzerland | about 10 hours ago

    The Computer Security Group  is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of

  • ETH Zurich | Switzerland | about 10 hours ago

    monitoring. Project background Current technologies enable the collection of vast amounts of data from athletes. Despite many technical advances, the field is not yet able to deliver on its marketing claims

  • ETH Zurich | Switzerland | about 10 hours ago

    100%, Zurich, fixed-term The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods

  • ETH Zurich | Switzerland | about 10 hours ago

    Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction

  • ETH Zurich | Switzerland | about 10 hours ago

    magnetic sources in the heart become possible. To this end, data for deep inference and digital twinning of the heart is obtained. Job description The position concerns MR pulse sequence design and image

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