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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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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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physics, optics, photonics, materials science, or a related field. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python
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large-scale, consortium-based projects is a plus. Proven skills in data analysis and programming (MATLAB, R, Python, etc.); experience handling large datasets is a plus. Additionally, skills using Linux
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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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. 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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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