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RF Sensors / EO-IR Imaging / Remote Sensing Systems Signal Processing, Detection and Track Filtering Multi-Sensor Data Fusion, Target Classification and Discrimination (Machine Learning / AI applications) Missile Systems (Aerodynamic, Ballistic, Space) Defense Weapon System Performance (e.g. Navy Surface systems, Ballistic Missile Defense systems) Ground Test and Field Test Events (missile flight and sensor track pre-event prediction and post-mission assessment.
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Engage in cutting-edge projects spanning scientific data archives, environmental science systems, 5G wireless solutions, and advanced IT solutions rooted in Big Data, Artificial Intelligence, and Machine Learning.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of machine learning techniques for computer vision, and natural language processing. Are you fascinated by the possibilities presented by machine learning and artificial intelligence advances.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.
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NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics.
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Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases. Deep familiarity with some Business Intelligence software, whether Qlik Sense, Alteryx, Tableau, or something similar, along with a demonstrated ability understand how it performs under various kinds of load and the inherent tradeoffs in processing data at scale.
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Pure DevOps role performing network authentication, visualization, machine learning, some coding and more. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Oversee the continued development of machine learning including supervised machine learning, unsupervised machine learning, deep learning, optimization solutions, image/visual analytics, and natural language processing.
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The C2 Resilience Sciences Group at The Johns Hopkins University Applied Physics Laboratory (JHU/APL) is seeking an Applied Research Scientist with a desire to conduct algorithm development, modeling and analysis using statistical signal processing, multi-domain data fusion, and deep learning concepts to help enable innovative, effective, and affordable system solutions to the most difficult challenges posed by evolving air, missile, and surface threats.
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Include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon-pump, cine-film processor and viewer, etc.
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4+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attributionExperience working with and measuring TV, digital media, and CRM dataDeep knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.
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Program Human Machine Interface (HMI) applications (SEL Diagram Builder, Inkscape, Wonderware, etc.) Develop your career via peer-learning through sharing of knowledge with other experienced engineers by way of Sargent & Lundys systems of process and associated Communities of Practice.
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machine learning jobs Title: learning architect in Annapolis Junction, MD
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