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, implementation, and validation of architectures and methodologies for efficient and distributed data processing along the Edge-Cloud-HPC continuum, through the integration of Artificial Intelligence techniques
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HPC infrastructure; • installation, configuration, administration, and monitoring of: - CPU and GPU computing clusters, - storage systems, - virtualization and cloud computing platforms, - orchestration
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focus on data interoperability and on the integration of AI models, multi-agent systems, and intelligent workflows deployed across the Edge–Cloud–HPC Continuum. The research activities will also address
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of Digital Twins, Artificial Intelligence, and Edge–Cloud–HPC distributed infrastructures. Research activities will include the design of Digital Twin architectures and platforms, the development of Generative
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Systems (HPC); Data Science; Software Engineering; Artificial Intelligence; Computer Networks; Operating Systems; Distributed and Mobile Systems; and Computer Vision. In particular, the researcher will
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regression, survival analysis, classification, and machine learning techniques. Familiarity with bioinformatics workflows, reproducible data analysis, and high-performance computing (HPC) environments