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are typically acquired through the completion of a Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field and ten or more years of progressive experience in data architecture
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 2 months ago
23 Jan 2026 Job Information Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA Research Field Computer science » Computer
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at least two (2) years working on large scale cloud-based projects; (Bachelor's degree in computer science, information technology, or related field, can substitute 1-year experience, Master?s Degree can
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-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models on cloud and edge devices
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will join the
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, notifies program/department chair. Minimum Qualifications: A qualified faculty member in Cloud Technologies meets the program standard through one of four routes: Possesses an earned master’s degree
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wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance Program with eight sessions
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), cloud computing services (such as Google Cloud, Microsoft Azure, and AWS), and web application frameworks (such as R Shiny). Experience building reliable data pipelines that ingest and process data
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/Analyst is responsible for designing, developing, integrating, and supporting cloud-based and AI-enabled solutions that enhance operational efficiency and institutional effectiveness. This role focuses
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network