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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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Research program on biodiversity (NRP82 ) which seek to understand the challenges facing, and opportunities offered by, biodiversity and ecosystem services, and to develop practical solutions
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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with partners in Bern to develop multi-compartment organ-on-chip systems integrating lymphatic and vascular networks under physiologically relevant mechanical conditions Apply expertise in lymphatic
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independent analytical work with active participation in joint project planning, interpretation, and dissemination of results. Your responsibilities will also include the development and maintenance
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research groups (from University of Zurich and University of St.Gallen). The ETH AI Center Fellowship program is one of Europe’s premier Post-Doc programs focused on advancing interdisciplinary AI research
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we seek to enhance resources for student learning on statistics and machine learning applied to these topics. Project background We would like to develop learning exercises that help students learn how