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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | about 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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Engineering team, responsible for the implementation, configuration, automation, and support of cyber security services across on-premises, public, and hybrid cloud environments. This includes integrating
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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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, cloud-based services, virtual infrastructure, and applications. This position acts as a technical bridge between internal department teams and vendor partners for development, engineering, service
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regarding accessibility, privacy, and ethics standards. Performs other duties as assigned. Minimum Qualifications Bachelor’s degree in computer science, Data Science, Software Engineering, a related field
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video using Adobe Creative Cloud software. Re-edit video content to be used across multiple platforms. Make light, color/contrast adjustments to finished work as needed to maximize publishing quality
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for translating business needs into technical solutions, leading efforts to adopt emerging AI-enabled platforms, and ensuring robust deployment to cloud infrastructure. You'll mentor team members, foster a culture
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Feb-26 Location: Wharton, Texas Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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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
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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