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Python within existing data pipelines Checking results against legislative documents and official registers and verifying licensing requirements for different data sources. Communicating with national
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user
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necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software
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other related subjects. Experience working on experimental ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as
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an existing Python model and collection of asset management data of municipal infrastructure. Together with other researchers in the team, you will design workshops to be carried out with municipal
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level hardware interfaces to high level optimized applications mainly in Python and under Linux. Increasing the functionality and reliability of the beamlines in order to realize their scientific
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Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very
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assignments in engineering programs and master's programs. More information is available on our website . ( https://www.kemi.uu.se/angstrom/?languageId=1 ) Subject description The project includes the
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and computational researchers. Research group website: https://johannescairns.github.io/meg-lab/ . Description of the project The doctoral project, "Predicting eco-evolutionary dynamics in a
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professional experience. Furthermore, you have: Several years of experience developing in Python, including type annotations, packaging, dependency management, logging and error handling Extensive experience