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Marketing & Brand Management Department Website Link https://marcom.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Marketing Coordinator at the University of Arizona plays
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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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, 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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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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, or experience with writing in any language that is not their original language, or interest or experience in any kind of teaching, or facility with computer applications such as cloud documents, spreadsheets
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Writing, or experience with writing in any language that is not their original language, or interest or experience in any kind of teaching, or facility with computer applications such as cloud documents
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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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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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision