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ResponsibilitiesSupport applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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The ACIO for CX and AI provides leadership and direction to teams responsible for User Support Services, IT Service Management, the IT Project and Program Management Office, and IT Communications and Marketing, and serves as the central point of leadership in Information Services for Artificial Intelligence at the University of Oregon.
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Develop and maintain a task tracking system to prioritize Chief Digital and Artificial Intelligence Officer key tasks and deliverables, coordinated with senior leaders; prepare and update status of tasks for reporting; and resolve prioritization conflicts with other staff executive assistants and executive officers.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Examples include, but are not limited to, computational science research in at least one of the following: biology; chemistry; earth science; engineering; materials science; nuclear energy; physics; renewable energy; energy science; artificial intelligence; numerical methods & applied mathematics.
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We are making manufacturing fast, accurate and cost-efficient by combining optical and atomic force microscopy with machine learning and artificial intelligence. Nanotronics is making manufacturing fast, accurate and cost-efficient by combining optical and atomic force microscopy with machine learning and artificial intelligence.
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The Department of Defense's (DoD) Chief Digital and Artificial Intelligence Office (CDAO) is at the forefront of supporting the DoD with the adoption of innovative technologies such as data, analytics, and artificial intelligence to help accelerate predictions, forecasts, and interpretations for both strategic and tactical decisions across the enterprise.
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Our team works closely with high-technology clients developing advancements in artificial intelligence, machine learning, quantum computing, and other innovative technologies to secure patent protection and provide relevant strategic counsel.
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The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain or IoT.
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Our cutting-edge solutions are the driving force behind the testing of ICs that power electronic systems across computing, consumer technology, automotive, Artificial Intelligence (AI), and myriad other applications.
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The ideal candidate should possess expertise in various technologies, including 5G, Wi-Fi, artificial intelligence (AI), processor and memory systems, image processing, and RF front-end.
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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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artificial intelligence jobs Title: mri technologist Company: Mount Sinai Medical Center in Butte, Montana
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