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DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.
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computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
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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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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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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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80%-100%, Zurich, fixed-term The Department of Computer Science at ETH (D-INFK) is offering a new Master of Advanced Studies (MAS) in AI and Digital Technology. This is a continuing education
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tools. Adept in software engineering with fluency in programming languages such as MATLAB, C++, C#, Java, Python (Napari, Stardist, Scikit-image), PHP, SQL, Tcl/Tk.). Knowledge of training and/or
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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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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