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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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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.
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The Leidos Digital Modernization Sector Health IT Division is seeking a Senior Cloud Solution Architect/Technical Lead with extensive knowledge and expertise in Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) technologies and architecture.
$260,850 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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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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At least 3 years of experience in auditing information security (application security, network security, cyber security, data protection), or cloud computing controls (design, operation, risk management, auditing) or a combination.
$163,300 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Project work in deep learning, computer vision, NLP, or chatbot development. 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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As a senior member of the team, you bring deep expertise in software engineering, data engineering and will work closely with other infrastructure and network engineers, data scientists, and system engineers on the following key tasks:Developing, designing, testing, and maintaining software that is primarily FOSS dependent with a heavy emphasis on Python programming.
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Bachelor's Degree Exercise Physiology, Exercise Science, or Kinesiology. American College of Sports Medicine - Certified Exercise Physiologist (ACSM CEP) within 12 months. Certified Cardiac Rehabilitation Professional or American Association of Cardiovascular and pulmonary Rehabilitation - Certified Cardiac Rehabilitation Professional (AACVPR CCRP) within 12 months.
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Certification Requirements:Must possess at interview the appropriate baseline certification(s) to achieve DoD.01-M Information Assurance Technical (IAT) Level II compliance, such as CompTIA Security+ CE.Must possess at interview the appropriate Computing Environment (CE) certification(s) to achieve DoD.01-M Information Assurance Technical (IAT) Level II compliance, such as CISCO, Palo Alto, etc.
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Working knowledge of IDS/IPS systems, EDR solutions, network infrastructure and protocols, cloud security, IAM systems, virtualization and databases. Bachelor's degree in computer sciences, related field or equivalent experience and certification.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Knowledge of computer technology, systems development, and the interaction of Government enterprise and cloud systems sufficient to ensure the accuracy and functionality of current and future systems.
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Experience or familiarity with Learning Management Systems, especially Canvas, and with educational technology and collaboration tools (e.g., Google Suite, Microsoft Office, Ally for Canvas, Turn IT In, Adobe Creative Cloud Suite, Kaltura, Zoom, Poll Everywhere, and HTML) desired.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Russell H. Morgan Department of Radiology and Radiological Science is committed to providing the highest quality medical care. Teaching opportunities are available with our radiology assistants, students from the Schools of Medical Imaging, as well as learning opportunities across modalities for all technologists.
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computer science deep learning applied cloud computing jobs Title: applied researcher in Mclean, VA
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