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technologies Agentic AI frameworks, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence. You will join as the Senior AI Full-Stack Developer where
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? No Offer Description Segmentation of scenes and shots for multimedia content monitoring and analysis using artificial intelligence and deep learning techniques, including transition detection, key
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accepted online at https://hrjobs.csuohio.edu/hr/postings/26006 . Mailed or emailed application materials will not be accepted. Review of complete applications will begin on April 6, 2026, and will continue
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: https://apply.interfolio.com/176297 . Salary: $180K - $230K (9-month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within
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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4
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to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high
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development at the intersection of marketing, data analytics, and artificial intelligence applications in business. Position 2: Organizational Behavior and Leadership The successful candidate will teach courses
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University of California Office of the President | Oakland, California | United States | 10 days ago
procurement and financial platforms. The role is also responsible for advancing the strategic use of artificial intelligence within the CLM tool, leveraging AI-driven capabilities to enhance contract drafting
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multiple 2D images and multiple channels, (d) optimizing 2D projection viewpoints (dose reduction and time savings), (e) applying artificial intelligence and traditional machine learning models to noise