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The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Cedars-Sinai placed in the top 20 on Newsweek s World's Best Smart Hospitals 2024 list, which highlights hospitals that have excelled in the utilization of electronic functionalities, telemedicine, digital imaging, artificial intelligence and robotics.
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Solid skills in data modeling, data visualization, and overall business intelligence. Reporting to the Director of BI Engineering, the Sr. Business Intelligence Engineer will. design, develop, and support business intelligence solutions that turn data into.
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Expertise in advanced data science, machine learning, and artificial intelligence techniques, supported by a strong track record in programming languages such as Python, R, SQL, and proven software engineering methodologies.
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Experience fusing intelligence capabilities in support of operations. Prior experience with Palantir Gotham, Palantir Gaia and Palantir Foundry is recommended. FSRs also assist other Technical Experts (e.g. FDEs) by providing customer feedback on appropriate configuration and customization, assist in adapting and implementing data modeling and ontology to meet customer requirements, and supporting customer creation of enterprise-wide Standard Operating Procedures (SOPs) and methodologies for most effective use of the Palantir Platform at scale across customer organizations.
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We are seeking an experienced embedded software engineer to help us design, build, and launch Artificial Intelligence applications and solutions on UAV platforms in mission critical environments.
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Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics.
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Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.
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Algorithm Development, Artificial Intelligence, Embedded Systems, Electronic Warfare, Image Processing, Machine Learning, Military Vehicles, Modeling/Simulation, Robotics/Automated Systems, Sensors Integration, System Engineering, Testing, Aerospace, Sensors/Optics, Autonomous Systems, Data Analytics/Science, ISR & Tactical Systems, Threat Systems.
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There are also research and development opportunities with our departmental machine learning/artificial intelligence group, data science and Imaging Informatics. There are also research and development opportunities with our departmental machine learning/artificial intelligence group, data science and Imaging Informatics.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. IBM was also named the only leader in the enterprise cloud computing analysis of all Artificial Intelligence vendors by IDC. As IBM continues to help our customers to transform their businesses into digital powerhouses, you will be at the leading edge of our transformation and a key part of our strategic direction serving our customers in the Southeast (specifically South Florida and Puerto Rico) in multiple industries.
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To accomplish this, DDI will operationalize Artificial Intelligence (AI) and data capabilities, and establish and implement AI and data related governance across NGA and GEOINT community.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Designs and manages the portfolio of modalities and the tools to route DICOM images to systems like post processing, artificial intelligence, routers and downstream systems. The PACS Administrator III is responsible for RIS/PACS and CPACS application architecture, strategic planning, project proposal and overall project execution, upgrades and regular maintenance of Pictorial Archiving Communication Systems and modalities.
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candid domain artificial intelligence jobs Company: Pwc
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