219 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO"-"CUBO" positions at ETH Zurich
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, you will find a welcoming, open, and highly interactive research environment. Our work is collaborative and interdisciplinary, and it is firmly embedded in the international quantum computing community
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100%, Zurich, fixed-term The Grassland Sciences group at ETH Zurich is a vibrant and international working group at the Department of Environmental Systems Science at ETH Zurich. We are looking
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biochemistry and cell biology. The goal is to build a collaborative interdisciplinary team that uses population genomics to support the development an implementation of working experimental transposon models in
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part of the Institute of Geochemistry and Petrology at the Department of Earth and Planetary Sciences, ETH Zurich. We are seeking a highly motivated, curious, and team-oriented doctoral candidate with a
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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Moor's lab email: michael.moor@bsse.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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90%, Basel, permanent The Laboratory Automation Facility (LAF) is a central research and service platform within the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zurich
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that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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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