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Your position With your application you agree to our terms of participation . In principle, attendance is required at all program elements. Failure to attend may result in exclusion from the program
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.) Expected duration of Master Internship Requirements Linux and git usage and configuration Programming with scripting languages (e.g. Bash or Python) REST APIs familiarity Problem decomposition Good
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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linking ML, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML
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8 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Astronomy » Astrophysics Astronomy » Other Computer science » Programming Computer science » Other Engineering » Other
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expertise? Through an Impact Collaboration Programme (ICP) project, you can develop creative ways to work together to ensure that the best available knowledge supports the design of solutions to the complex
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running on distributed systems; main programming languages and technologies include Python, Numpy, Xarray, and C++. Ensure the data processing framework remains highly performant, scalable, and cloud-native
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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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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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and outbound prospects related to any outreach and sales activities for SNAI. Devise and implement sales formats enabling multiple prospects to engage with SNAI offerings in parallel (thematic events