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10%-30%, Zurich, fixed-term We are looking for a student research assistant to help us develop our Digital Twin of Swiss Mobility, who has very good skills in data processing with Python and/or
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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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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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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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 with ruminant nutrition
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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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in experimental physics Programming skills (Matlab, Python) and experimental experience in electron microscopy and light optical imaging are a plus Additional Information Benefits We offer Our
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). Hands-on laboratory experience with lasers, optics, or photonic devices. Skills in experimental data acquisition and analysis (in Python). Motivation to combine computational modeling with experimental
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to the fields of architecture and engineering. We have developed an open-source python library called AIXD ( https://aixd.ethz.ch/docs/stable/ ) for ML-assisted forward and inverse design. In the framework