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Harness your expertise in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Software Engineering & DevOps, Signal and Image Processing, and Mathematics.
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Have professional, research, or internship experience in advanced signal processing, image processing, communications engineering, RF engineering, or related topics. If you are graduating with a PhD in Applied Math, Applied Physics, Electrical Engineering or Computer Engineering and would like to impact the development of the next generation of digital signal processing and communication algorithms for U. S. Navy electromagnetic systems, we'd love to have you join our team.
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Experience: Three or more (3+) years of experience building custom data science models using machine learning. Able to work on-site work from 3-5 days per week at the UMD / ARLIS building in College Park, MD. The position does not support travel expenses from the employee’s lodging to the work site Preferences: Preferences : Master’s degree or Ph. D. in Computational Linguistics, Data Science, Statistics, Computer Science, Mathematics, Operations Research, or another related technical discipline.
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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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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.
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Bachelors degree in Computer Science or related discipline from an accredited college or university. BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Experience with quantum computer and/or atomic, molecular, optical (AMO) systems and control techniques.
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At least a BS in atmospheric science, physical science, computer science, related discipline, or equivalent. Knowledge of, and/or background in, radiative transfer and/or AI/Machine Learning are also a plus.
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With a history of expertise in software development, computer network design, IT security, mission operations support, and educational outreach, Team ADNET is deeply embedded in the Space and Earth Science at NASA's Goddard Space Flight Center (GSFC) in Greenbelt, MD.ADNET Systems, Inc. is working with Goddard Space Flight Center to fulfill NASA's vision for space exploration, and working with the Science and Exploration Directorate to fulfill its many missions.
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Bachelor’s Degree or higher in Human Computer Interaction ( HCI ), Cognitive Psychology, Social Science, or related field (or equivalent and demonstrable work experience) Leveraging user requirements gathered in qualitative research to design user interfaces for complex human-machine interactions.
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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Qualifications:Master's or Ph. D. degree in Electrical Engineering, Computer Science, Acoustics, or related field. 1+ years of experience in digital signal processing, with a focus on audio signal processing and acoustics.
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If you are graduating with a degree in Computer Engineering, Electrical Engineering, or Mathematics and want to tackle problems using your knowledge of embedded systems or signal processing, wed love to have you join our team.
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A BS degree in Computer Science, Management Information Systems, Computer Information Systems, Information Assurance, or a comparable field or equivalent years of professional relevant Security Engineering experience working with DoD IT enclaves, systems, and solutions.
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machine learning computer science image processing jobs Company: Clearancejobs in Laurel, MD
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