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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background
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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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degree in Physics, Applied Physics, Electrical Engineering, or a closely related discipline A strong interest in experimental physics Excellent analytical and problem-solving skills Enthusiasm
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experimental challenges Applicants should hold, or be close to obtaining, a Master’s degree in physics, electrical engineering, photonics, materials science, or a related field The position will involve
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Computer Science, Electrical Engineering, Robotics, or related field You bring: A strong foundation in machine learning, including classification and regression, model evaluation, representation learning, and
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of AI-based
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physics, quantum engineering, electrical engineering, or closely related discipline You should have a strong motivation to build a quantum computer from scratch Excellent spoken and written English
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in the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zurich, affiliated with the Institute of Neuroinformatics, and the Neuroscience Center Zurich (ZNZ) PhD Program
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processes and documentation for future regulatory development Profile An MSc or BSc in Electrical Engineering, Embedded Systems, Computer Engineering, Robotics or a related discipline Strong C/C++ programming
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. Project background We are looking for a motivated intern to support the development