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analysis, and radioactive material behaviour is a plus. Good knowledge of programming languages (C++ and Python). Independent, self-driven, creative, and solution oriented. Strong written and verbal
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languages such as Python/R/Julia, use of scientific data libraries (e.g., xarray, netCDF4, HDF5, Zarr), and workflow automation on HPC systems Strong communication skills for working across different
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analysis in Python is advantageous Previous experience with imaging (especially computed tomography) and/or image analysis is advantageous Excellent communication skills in English (oral and written) are a
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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, deep learning), and AI frameworks (e.g., Python, R, TensorFlow, PyTorch). Experience with biological or animal science data (e.g., omics, time-series production data) is highly desirable; familiarity
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their RDM challenges. Advantageous are experience and/or working knowledge with the following topics: Python and its scientific libraries (e.g., Numpy, Pandas); creating online course materials using learning
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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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skills in MATLAB and/or Python Interest in interdisciplinary research at the interface of physics, engineering, and life sciences Independent, creative, and motivated personality with excellent
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. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python, MATLAB, or similar tools. Experience in theoretical modelling
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| ETH-Bibliothek Student Research Assistant for Developing Python tools for holographic cloud-particle imager 10%-30%, Zurich, fixed-term 05.01.2026 | Atmospheric Physics