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Specifically, candidates with computer engineering expertise with a focus on Biomedical Engineering, Neural Networks, Cyber-Physical Systems, Artificial Intelligence, Machine/Deep Learning, Data Analysis, Robotics, Cybersecurity, and Augmented and Virtual Reality.
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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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Will be responsible for operating Forklifts, Pallet Jacks, Banding Machine, Label Maker & Computer. This supports the DHS Customs & Border Protection Tethered Aerostat Radar System (TARS) program.
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As a Research Scientist at RLR, you will pursue research, and work with other Computer Vision and Machine Learning Researchers and Engineers to solve challenges at the forefront of computer vision and graphics that transform virtual reality from dream to reality.
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You will work in a dynamic and challenging environment alongside our customers which include Lockheed Martin, General Dynamics, Northrop Grumman, Raytheon, US Army, US Navy, US Air Force, the Missile Defense Agency, and NASA on cutting edge technologies including machine learning, augmented and virtual reality, big data analytics, and more.
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Nice to have - Altium, SolidWorks, NV-IPM, Zemax, MathCAD. Preferred - Confluence, JIRA, MS Project, MagicDraw or similar project management and system engineering tools, Windchill. BS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering.
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DTG provides the homebase for full-stack developers, data engineers, data scientists, and other technologists, creating a dynamic, cross-project technical community that prioritizes continual learning, collaboration, and easy opportunities for project variety over time.
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Responsibilities An Intelligence Specialist C works in the field and domestically to advise on activities with intent to spot, assess, develop, recruit, and handle non-U.S. citizens with access to foreign intelligence vital to U.S. foreign policy and national security decision-makers.
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Currently has, or is in the process of obtaining a PhD degree in computer vision, machine learning, computer graphics, artificial intelligence, applied mathematics, or related areas. Meta RLR is looking for a talented Research Engineer to accelerate the progression to authentic social presence in Virtual Reality and Augmented Reality.
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The TARS program leverages aerostat systems to provide persistent surveillance and detection capabilities, to the U.S. Government customer across eight (8) different operational sites along the US Southern border in multiple locations including Puerto Rico, Florida, Arizona, New Mexico, and Texas.
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From developing creative new Lens features for Snapchat, to supporting the continuous growth and evolution of Lens Studio (our platform for an ever-increasing community of AR creators), to designing the cutting-edge computer vision and machine learning technology that makes face transformation Lenses possible — our Augmented Reality team is working hard on their mission to bring AR to more people, places, and moments, every day.
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Previous experience in federal management consulting, homeland security, border security, immigration policy, government policy, legislative affairs, or a related field. QinetiQ U.S. seeks a Management Analyst responsible for tracking, analyzing, developing, and reviewing official agency briefings, policy memos, and correspondence on behalf of a federal law enforcement organization within the Department of Homeland Security.
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PhD or equivalent level degree in computer science, computer engineering or related field involving artificial intelligence, human behavior modeling, natural language processing, machine learning, multi-agent systems, deep learning, agent-based social simulation, data analytics, intelligent user interfaces, complex adaptive systems, decision support systems, learning technologies, augmented reality, virtual reality, simulation, robotics, data fusion, and/or game development.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.
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