369 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" positions in Switzerland
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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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of Basel, Swiss TPH combines research, education and services at local, national and international levels. 1'000 people from 96 nations work at Swiss TPH focusing on infectious and non-communicable diseases
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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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is carried out by the responsible recruiters and not by artificial intelligence. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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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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sciences. The working place will be Dübendorf / Zurich. Your tasks Developing new materials concepts in the space domain with partners from Empa internal and external partners. Developing characterization
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Infectious Diseases unit. We are seeking a dynamic and collaborative academic leader with substantial clinical experience and research expertise in pediatric infectious diseases, demonstrated by international
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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