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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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of software tools for geospatial data management (e.g., QGIS, ArcGIS); - Knowledge of languages and advanced tools for the harmonization and analysis of qualitative and quantitative data (e.g., Python, Matlab
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of a PhD relevant to the required experience. - Knowledge of advanced languages and tools for optimization and data analysis (e.g., Python, Matlab, R). - Knowledge of English and basic IT skills (to be
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languages (e.g., Python, R, SQL), in Linux environment, and HighPerformance Computing infrastructures, in handling workflow/workload managers and containers; High proficiency level in Python and relevant deep
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knowledge/experience in geospatial data processing (e.g. ArcGIS or similar open source) / database skills and programming/scripting capacity (e.g. R, Python) • Experience in developing Dashboards and
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institutions and/or private companies. Coding capabilities using Python or equivalent languages and/or knowledge of High Energy Resolution Fluorescence Detected-XAS (HERFD-XAS) and X ray Emission Spectroscopy