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Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental
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Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of domains. Our current research focus is on sports analytics and we seek to expand
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learning, non-Hermitian systems The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positions to work at the intersection of computational quantum many-body physics, machine
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wet-lab based experimentation, project management and teaching duties. Position details: Start date: Jan. 1st 2026 or by agreement Funding: Fully funded PhD position (ca. 4 years, final admission
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combs that require large and complex setups, we aim to realize them directly on chip, using liquid-like light and schemes of lattices in synthetic frequency dimensions to achieve unprecedented stability
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the Mobility Information Engineering lab and supervised by Prof. Dr. Martin Raubal (Chair of Geoinformation Engineering). The position also includes teaching responsibilities (20%) in courses offered by
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to work independently and contribute to a collaborative lab culture. We offer A Ph.D. degree from one of the most renowned universities in the world — ETH Zürich. The opportunity to conduct pioneering
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in liquid-like lasers (fast-gain devices with quasi-constant intensity) we can go further: resonant radio-frequency (RF) modulation transforms the spectrum into a synthetic frequency lattice, enabling
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meetings and in international conferences will require a good knowledge of English. Ability to work independently, as well as to contribute to a collaborative lab culture. We offer We offer a stimulating
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team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly valued but not mandatory. We offer We