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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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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
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in data acquisition with LabVIEW; data analysis skills (Python, Igor Pro, etc.) or simulation software. Good time management skills and ability to prioritize are expected, together with the ability
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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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topics: a) Knowledge of methods for analyzing data from cosmological surveys in general and from the Euclid survey in particular; b) Knowledge of the Python and C/C++ programming languages; c
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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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, or a strong willingness to develop them during the project; experience with R, Python or bioinformatic workflows would be an advantage. Ability to work with human biological material, biobank resources
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-twin concepts, and programming (e.g. Python, MATLAB, LabVIEW or similar engineering software) B.4 Strong interest in metrology B.5 Experience in working with experimental setups, laboratory equipment
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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