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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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cloud computing systems, including SharePoint, Adobe, and Microsoft Office products is necessary. Excellent customer service essential. Must have excellent interpersonal and organizational skills
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cloud computing systems, including SharePoint, Adobe, and Microsoft Office products is necessary. Excellent customer service essential. Must have excellent interpersonal and organizational skills
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28 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile First Stage Researcher (R1
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, deployment, and ongoing enhancement. Working within a modern cloud environment, this role leverages AWS services and cloud-based workflows to ensure WebTools remains scalable, resilient, and responsive
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MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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computer hardware communication bus protocols: USB, I2C, I2S, CSI, Ethernet, SPI, PCIe, HDMI, CAN, serial comms, etc Strong communication - You can explain complex physical behavior clearly, write structured
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). Knowledge & Technical Expertise Mastery or deep understanding of multiple IT domains including infrastructure, networking, cloud, cybersecurity, research computing, or digital collaboration. Strong working
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computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data pipelines is essential. Skills in
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Qualifications Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required Experience: 4–6+ years of experience building cloud-native data pipelines