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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 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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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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. – 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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: “Development of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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activity: “Mathematical and computational optimization for the management of complex socio-environmental systems and decision support.” Where to apply Website https://selezionionline.cnr.it Requirements
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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 participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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: “Mathematical and computational optimization for the management of complex socio-environmental systems and decision support.” Where to apply Website https://selezionionline.cnr.it/ Requirements Research
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role