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Field
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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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SAXS data using established analysis software and Python-based tools. developing and documenting reproducible analysis workflows in Python and Jupyter. performing comparative analyses of data collected
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code to Python/C++. Setting up simulation environments for different use cases. Develop and optimize software for robotic systems using Python and C++ . Work with ROS (Robot Operating System) for robot
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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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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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data such as Landsat and Sentinel-2. Very good programming skills (e.g. Python, JavaScript). Very good oral and written proficiency in English. Other merits Experience with time series satellite image
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relevant subject. Excellent oral and written English skills. Experience in image processing and image analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g
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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