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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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We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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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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Understanding of Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), Azure, AWS, and cloud applications. Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.
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Experience with cybersecurity tools and platforms, such as SIEM, firewalls, IDS/IPS, and vulnerability assessment tools. If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.
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Understanding of DevSecOps. Experience engineering Cyber Security solutions using structured and unstructured Big Data. Experience engineering Cyber Security solutions using Automation, Augmentation and Artificial Intelligence technologies.
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From Space to C-UAS & Autonomous Systems to Electronic Warfare & Cyber, and Artificial Intelligence, at our company there is no limit to where you can take your career. + Experience with hardware-oriented programs (vendors) - procurement of electronic (Digikey, Mouser) and mechanical (McMaster-Carr) components, printed circuit board fabrication and assembly services, and other equipment/parts vendors.
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The Leidos Digital Modernization Group has an opening for a Network Engineering Manager on the Department of Housing and Urban Development (HUD) End User Support Services (EUS) contract.
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With expertise in rapid prototyping, manufacturing, artificial intelligence/machine learning and autonomy, we transition advanced technologies and integrated systems to U.S. Government customers including all branches of the US military, DARPA and other research laboratories, and the Intelligence Community.
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Basic Qualifications:Minimum of 5 years of related experience with a Bachelor’s degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step.
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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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The N910 MD must be familiar with the missions, organizations and technical areas of key importance to the NSA and USCYBERCOM. These include cybersecurity; joint cyber operations; collection, exploitation, and analysis of signals intelligence; multi-domain operations; modeling and simulation; computer and analytic sciences; reverse engineering; and automation, artificial intelligence, and machine learning.
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Experience with open-source research and ubiquitous technical surveillance. URT1 Explore more InfoSec / Cybersecurity career opportunities Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Research and Development of new tools and methodologies to understand and reverse engineer processes and support systems at remote WMD-related facilities.
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artificial intelligence research and development big user experience jobs Title: engineer in Reston, VA
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