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In addition to understanding modern software engineering, the candidate will support core signal and image processing algorithms, hardware control, GUI design, and database development.
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Evaluate and apply theoretically rigorous results to the development and evaluation of algorithms supporting engineering, signal processing, and machine learning applications based statistical methods.
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This interdisciplinary group brings a mix of Scientists (1-D and 2-D Signal Processing Experts, Applied Mathematicians, Data Scientists, Image Scientists, Physicists, and Electrical Engineers) and Software Engineers (C/C.
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The Integrated Solutions Division is seeking a Digital Signal Processing Engineer in Las Cruces, New Mexico to research, design, and develop signal and image collection, and processing and dissemination systems.
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Experience developing and implementing FPGoptimized versions of DSP algorithms (e.g. modulation/demodulation, PLLs, filters, image processing) Working knowledge of digital/analog/mixed signal electronics, components, and interface/communication standards.
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Experience implementing signal processing and/or image processing algorithms. Knowledge of a variety of NDE techniques such as ultrasonic testing, eddy current testing, digital radiography testing, etc.
$95,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Algorithm Development, Embedded Systems, Hardware Development/Design, Image Processing, Lidar, Robotics/Automated Systems, Sensors Integration, Signal Processing, Software Development/Design, IR, Sensors/Optics, Autonomous Systems, ISR & Tactical Systems.
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Course work or experience in signal & image processing, digital communications, or estimation theory. Experience with Imaging EO/IR/RF systems, energy transport, or radar physics, signal processing or discrimination algorithms.
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Course work or experience in some of the following fields: radar, signal & image processing, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory.
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Strong background in digital signal and image processing. Strong background and understanding of the image acquisition process in digital imaging systems including optics, sensors, lighting in visible and infrared wavelength, and image quality aggressors.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What you’ll do Sight and Sound play a large role in our day-to-day experiences.
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You have a minimum of 10 years' experience in medical Imaging, focused in CT physics, as well as proficiency with image/signal processing and algorithm development. The Director CT Image Quality & Imaging Platform will play a key global leadership role in Philips' Computed Tomography (CT) Systems team, with the primary responsibility in leading/driving an end-to-end view of Image Quality in Philips Computed Tomography (CT) systems.
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Intermediate or expert in one or more of image processing algorithms, machine learning, data mining, pattern matching and parallel processing using high performance computing paradigms such as GPGPU. Able to extend and improve existing algorithms to improve facial, speech, vision and gesture recognition technologies for better accuracy, robustness and ease of use.
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DeepSight Technology Inc. is a stealth mode startup company that has developed breakthrough technology in ultrasound imaging.
$130,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Our applications include: radar, EOIR, RF signatures, IR signatures, RF testing, electronics and systems integration, antennas, image processing, GPU acceleration, low observable design, metamaterial design, EMI simulation and analysis, machine learning, RF signal processing, RF tracking algorithms, communications systems, and more.
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