373 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"IFM" positions in Switzerland
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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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
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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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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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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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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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Each doctoral student will lead a coherent subproject within this broader research program: Position 1: AI for Computational Thinking Focuses on designing and studying AI-assisted programming
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website . For any further questions, please contact jonas.wuest@wysszurich.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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atmospheric/environmental sciences, physics, computational science, engineering or a related field A background in numerical modelling, statistical data analysis and/or programming skills is highly encouraged