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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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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer.
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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 architecture, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, statistics and more.
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Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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Master’s degree in Computer Science , Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program. Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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As our Cloud Engineer, you will play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Internet of Things (IoT), artificial intelligence (AI), quantum computing) and create white papers, as requested. Analyze continuous monitoring, configuration management, vulnerability management, asset management, software management and self-reported data to identify trends and anomalies cybersecurity performance and mitigation of risks.
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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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Support the tactical intelligence-to-detection pipeline, to include malware reverse engineering, TTP analysis, and association mapping in a TIP (threat intelligence platform) for future pivoting.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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Master s degree in Computer Science, Software Engineering, or related discipline. We define, architect, design and prototype creative ways to integrate and fuse all-source intelligence and new sources of data to empower analysts and inform the programmatic and technical direction of new and existing programs.
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Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or related engineering discipline. Demonstrated technical proficiency in at least one area of security (e.g. communications, networks, embedded systems, software, system testing or assessment, etc.
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MELE’s services include national security, intelligence, law enforcement and emergency response training, IT/cybersecurity, facility management and engineering, CBRNE defense and nuclear security, and mission and program support.
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Virtual Server Engineering uses Site Reliability Engineering (SRE) principles and engineering discipline to design, build and maintain large-scale Virtual Environments with high efficiency and availability using the combination of software and systems engineering practices.
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software engineering embedded artificial intelligence jobs Title: computer in Falls Church, VA
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