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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Expertise in one or more of the following or related areas: optimization methods, hardware and electronics, machine learning tools, computational physics, and signals and systems. Expertise in one or more of the following or related areas: optimization methods, hardware and electronics, machine learning tools, computational physics, and signals and systems.
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Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing.
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Towers Crescent (12066), United States of America, Vienna, VirginiaSenior Machine Learning Engineer (Remote-Eligible)As a Capital One Machine Learning Engineer (MLE), you. ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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For this tenure-track position, we seek candidates with expertise in topics including but not limited to (a) healthcare delivery systems; (b) advanced manufacturing, automation, and material handling; (c) applied machine learning and data analytics for manufacturing, logistics, and business decisions; and (d) other advanced topics relevant to industrial engineering.
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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
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KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas: computer vision and image processing, multi-modal large language models, speaker identification/verification technologies.
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Additionally, part of the system includes an iPad application for neurological disease diagnostics using augmented reality and machine learning. About the projectWe are looking for a highly skilled Senior UI/UX Designer to join us.
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We have a full suite of equipment for in-house prototyping, including a CNC machine, laser cutter, Bridgeport mill, lathe, electronic workstations, and 3D printers. Ideal candidates are interested in continuous learning and development, not only in design engineering but in all of the other aspects of bringing a product from idea to commercial launch.
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Knowledge of statistical modeling, machine learning, Neural Network modeling, Forecasting, and Geospatial data processing. The team’s comprehensive scope includes data analytics, network and topology design, capacity planning, product and program management, and the daily execution of air and ground transplant logistics operations, managed by a world-class central command center operating 24/7.
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Experience with Industry 4.0 key concepts – connectivity, data collection, IIoT, systems integration, AI, machine learning, IS95, Pub/Sub. including cybersecurity practicesPreferred Qualifications:Ignition gold certificationDeep understanding in distributed controls, cyber security, IT infrastructure integration or other related fieldsProficiency in programming languages relevant to IIoT, such as Python, Java, and C/C.
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Prototyping machine learning and signal processing pipelines for our relevant applications to improve diagnostic quality. We are looking for an experienced machine learning and AI scientist to join our team to work on a range of diagnostic technologies.
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machine learning jobs in Wilmington, MA
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