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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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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 2 months ago
Infrastructure? No Offer Description The project focuses on the transition to 5G-Advanced and 6G networks, exploring innovative solutions based on cloud-native technologies and the latest platforms available
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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issues. PREFERRED: Advanced degree in a related field; Finance/Payroll Systems experience; experience in ERP implementation; experience in a complex not-for-profit setting; or experience with Oracle Cloud
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. This senior role will lead the design, implementation, configuration, and ongoing support of Oracle Fusion Cloud ERP, with deep hands-on ownership of BPM/workflows, security architecture, and underlying data
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is Computing Continuum (Cloud To Edge), which addresses activities related to the orchestration of distributed resources in heterogeneous environments (HPC/Cloud/EDGE) with a focus on the use of energy
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that support online applications, reporting and analytics, and integrations with other systems. The Data Engineer/DBA supports databases across platforms and products, both in the cloud and on-premises. The Data
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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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, data integrity, data lake/store/warehouse and associated systems, documentation, enterprise cloud services, the customer relationship management system, enterprise policy administration, the enterprise
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Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful