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; • skills in the management of: - computing clusters, - storage systems, - cloud and virtualization platforms; • knowledge, also acquired through experience, regarding: - Python programming, - use
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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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analysis tools (R, Stata, Python or equivalent), aptitude for international research, the ability to engage in interdisciplinary dialogue with legal scholars and and to contextualize economic research within
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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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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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(WES), and single-cell RNA-seq datasets. Proficiency in R, Python, and Bash. Knowledge of basic biostatistical methods, including descriptive statistics and parametric/non-parametric tests. Good command
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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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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 assessed during
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cryogenic conditions; PREFERRED SKILLS: experience in reduced-order modeling (ROM), numerical optimization, and scientific programming (e.g., MATLAB or Python) Eligible destination country/ies for fellows