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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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Python, Shell Scripting and Linux-based operating systems with applications in machine learning and image processing. Furthermore, this associate is responsible for developing imaging engineering algorithms towards the design and implementation of medical diagnostic and clinical instrumentation, equipment, and procedures, using the principles of computer, electrical and digital signal processing engineering for the deployment of our Next Generation Diagnostics Platforms.
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Explores application of advanced analytics to signal processing, to include but not limited to machine learning. Insight Global s is seeking a Signal Processing Engineer to support research, development and operational software deployment in the Washington DC Metro Area (WMA.
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Successful candidates will have strong skills in audiology, speech intelligibility assessment and modeling, speech enhancement, and/or machine learning with signal processing.
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QinetiQ Inc. is seeking a Lead Senior Systems Engineer to support the integration of existing and new technologies aimed at providing a fully integrated airborne solution with primary radio detection and ranging (RADAR) and Electronic Intelligence (ELINT) payloads across a robust command, control, communications, computers, cyber, intelligence, surveillance, and reconnaissance (C5ISR) platform.
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Knowledge of GFEBS or similar government accounting software is required. Utilize automated systems such as General Fund Enterprise Business System (GFEBS) to provide financial data collection and execution.
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Review engineering documents and provide SME support, Participate in SRR, PDR, CDR type activities. Oversee and guide integrated space vehicle systems, including integration of mission payloads (Link 16, Ka Band communications, DVB-S2, optical communications, onboard data processors) with satellite busses.
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Preferred Qualifications Active Top Secret clearance with SCI eligibility. An entrepreneurial mindset for account development, growth, and business strategy. Company Overview We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide.
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2+ years of experience with digital signal processing, probability theory, stochastic signal processing, design of digital filters, statistical/analytical signal processing, feature extraction, and machine learning techniques.
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Understanding of emerging avionics technologies such as signal processing & sensing, artificial intelligence & machine learning, cybersecurity, or advanced hardware. Understanding of emerging avionics technologies such as signal processing & sensing, artificial intelligence & machine learning, cybersecurity, or advanced hardware.
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As a member of our team, you'll help us build groundbreaking digital and RF circuits for the special operations and intelligence communities to address challenging national security problems and enable planning and decision making in domains as diverse as active threat deterrence, signal intelligence, cyber operations, machine learning, image processing, and applied data analytics.
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Key technical areas include Hyperspectral and Multispectral Image Processing, Machine Learning, System & Component Analysis, Optical Imaging and Tagging, Computer Vision and Hardware Signal Processing.
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This individual contributor position offers the chance to work on cutting-edge projects that impact the diagnostics field profoundly, focusing specifically on the development and integration of advanced machine learning and AI technologies.
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In this position, you’ll use your expertise in signal processing and acoustics to create innovative audio experiences related to audio rendering for headphones and out-loud speakers, spatial audio, and optimal filtering.
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Our application development domain includes embedded control, digital signal processing, machine learning, enterprise applications, middleware and user interface development.
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