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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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machine learning techniques. Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git). Strong publication record in reputable
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programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor will be at the Swiss Federal Research Institute WSL in Birmensdorf (approx. 20 min outside of Zurich
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analysis with common programming languages such as Matlab or Python Hardware control via LabView, Matlab, Python or similar Research project management and student supervision We offer A highly
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: Experience with NMR spectroscopy and/or single-molecule fluorescence techniques Programming/data analysis skills (e.g., Python, MATLAB) Previous research experience in structural biology or protein dynamics
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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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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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acquisition systems, including Python for connecting to standard open interfaces; familiarity with Matlab, LabVIEW, or SPS is a plus Experience in electrical engineering, radiofrequency engineering, and PCB
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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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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