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computing environments, such as Python, R, MATLAB or an equivalent tool, for data processing and analysis. good ability to work independently, formulate research questions and select appropriate methods. good
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programming languages (e.g. Python and Fortran). Extensive knowledge of galaxy formation and galaxy formation. Selection criteria The selection of eligible applicants will be made taking into account the
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laboratory and follow applicable biosafety procedures, risk assessments, and local safety regulations Analyse experimental data in R and/or Python and contribute to statistical modelling and visualization
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of medium-resolution satellite remote sensing 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
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field. Demonstrated experience with satellite remote sensing for large-scale vegetation or forest monitoring, including Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial
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them, and interpreted the output. You are comfortable on the Linux command line, on HPC clusters, and with scripting (Python or equivalent). You have the independence, and the stubbornness, to pursue a
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eligible. Good knowledge of Python programming. Preferred qualifications Good collaborative abilities Independence in work Good social and communication skills Awareness of diversity and equal opportunity
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systems; Programming in Python, MATLAB, or similar. Excellent written and oral communication skills in English are required. Assessment criteria Particular emphasis will be placed on knowledge and
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of cladding hoop stress and assessment of PCI-failure risk, • implementing, testing and documenting computational tools, for example in Python, and contributing to reproducible computational workflows
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming