225 data-science-"https:"-"https:"-"https:" positions at ETH Zurich

  • ETH Zurich | Switzerland | 3 months ago

    100%, Zurich, fixed-term The Agricultural Economics and Policy Group led by Robert Finger is looking for a doctoral (PhD) student with a background in agricultural economics for the topic ofthe

  • ETH Zurich | Switzerland | about 2 months ago

    30%-50%, Zurich, fixed-term Laboratory of Neuroepigenetics, Brain Research Institute and Institute of Neuroscience, UZH/ETHZ. The laboratory of Neuroepigenetics is a biology research group at

  • ETH Zurich | Switzerland | 3 months ago

    100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger

  • ETH Zurich | Switzerland | 3 months ago

    100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger

  • ETH Zurich | Switzerland | about 2 months ago

    on oncology-focused multimodal reasoning models that combine language, vision, biomedical knowledge, clinical context, and relevant patient-level data to produce reliable, auditable, and uncertainty-aware

  • ETH Zurich | Switzerland | 3 months ago

    . 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

  • ETH Zurich | Switzerland | 3 months ago

    100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger

  • ETH Zurich | Switzerland | 3 months ago

    100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger

  • ETH Zurich | Switzerland | 2 months ago

    documents: Questions regarding the position should be directed to Araud Evrard, [email protected] (no applications). Further information about CAS ETH in Regenerative Materials  can be found on our

  • ETH Zurich | Switzerland | about 4 hours ago

    are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density

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