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Guides Mid-level and Junior-level system engineers performing requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies.
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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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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
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Design control and sandboxing systems for AI research and contribute to the development of high-performance, large-scale ML systems. 4-6 years of hands-on experience in NLP/NLU research and development, with a focus on deep learning models and generative AI.
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Apply innovative approaches to designing, integrating, testing, and producing complex engineering sensor systems. Preferred - Confluence, JIRA, MS Project, MagicDraw or similar project management and system engineering tools, Windchill.
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PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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Master’s degree in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field.
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Experience with successful financial modeling in science research and development, systems engineering and integration, and digital transformation capabilities.
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Dine Source is seeking Intel Research Specialists (Level 1 through 3) to develop and provide Subject Matter Expert (SME) support for operational, functional and JCIDS intelligence capabilities development efforts within RDD at Fort Huachuca, Arizona.
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Senior-level Systems Engineers guide engineering teams in taking a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies to ensure timely and accurate GEOINT.
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Leidos' Health Solutions 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 in advancing biomedical research and protecting public health.
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Primary Responsibilities Provide multi-domain/multiphysics physical virtual modeling subject matter expertise for the Company's projects related to electrical engineering and modeling and simulation, particularly in the development and application of digital twins for Electrical Power and Energy Systems components and systems including electric machinery, gas turbines, diesel generators, propulsion systems, batteries, power electronics, switchgear, etc.
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artificial intelligence research and development systems engineering jobs Company: Clearancejobs
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