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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Candidates will also help evaluate use cases, applications, and considerations of the use of artificial intelligence and machine learning (AI/ML) for ensuring cybersecurity of systems within the government.
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Well-developed understanding of Systems Development Lifecycle (SDLC) and ideally the DHS Systems Engineering Lifecycle (SELC) process as it relates to Security Assessment and Authorization (SA&A.
$165,300 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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This position also oversees team-specific and division-wide change management and organizational change efforts, talent planning, and oversight of the divisional diversity, equity, and inclusion (DEI) execution plan, measurement, learning, and evaluation (MLE) activities, and division-wide staff engagement activities like retreats and All-staff meetings.
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You’ll be empowered to drive systems change and take bold steps to advance racial equity. We seek to advance racial equity and dismantle the enduring legacy of systemic racism in housing both through and within the work we do.
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Experience with roadways, sanitary sewers, water distribution systems, storm drain facilities, site grading, stormwater management, earthwork, erosion & sediment control, environmental compliance, ADA compliance, and/or pavement markings & signage.
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Bachelor's degree in engineering, oceanography, Geographic Information Systems, cartography, hydrography, or closely related discipline; or 2 years of college + 2 years of directly related experience; or 4 years of directly related experience.
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Knowledge of artificial intelligence and machine learning concepts and how it can be applied to analyzing data or automating manual tasks. This client is a US Federal Government contractor and is legally required to hire US Citizens.
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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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We are seeking a Sr. Instructional Systems Designer to support an Intelligence Community (IC) program in Bethesda, MD. The SR ISD will design innovative learning products that are instructionally sound and accurate and that engagingly convey content.
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Design, integration and configuration of audio/video systems with Crestron, AMX and Extron control systems. Develop complex AV control system programming and configuration of AMX, Crestron, and Extron control systems.
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Building on The Aerospace Corporation's reputation as a trusted, impartial advisor with integrity and dedication to mission success, the Civil Systems Group (CSG) combines deep technical expertise with market-leading innovation to help our customers solve complex systems engineering and integration challenges.
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machine learning systems engineering equity and inclusion jobs Title: engineering in Arlington, VA
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