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development (e.g., PyQt, Tkinter) CUDA for GPU acceleration Scientific computing libraries such as NumPy and SciPy A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is
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. The research will contribute to the area of neural input systems and will be related to brain-computer interaction. Candidates ideally have a background in Computer Science, Electrical Engineering, or Robotics
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Practical experience on cutting-edge educational technology and AI Flexible and supportive working environment Direct mentorship from experienced software engineers and researchers Opportunity to contribute
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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have a Bachelor’s or Master’s degree (any field of study is welcome - computer science is not a must-have) or can demonstrate equivalent knowledge and experience You are passionate about analyzing
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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artificial intelligence. For recruitment services the GTC of ETH Zurich apply. 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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Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
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20%-30%, Zurich, fixed-term We are seeking a motivated and detail-oriented student assistant to support the preparation of teaching materials for a graduate-level economics course. This position is
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R