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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Job Qualifications: How You Qualify Bachelor of Science (or higher) degree in Meteorology, Computer Science, or a related field, or at least 10 years of relevant experience in computer/systems administration, data operations, and related engineering.
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SAIC s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Implement data engineering technologies, primarily stream and batch processing systems with Apache Beam/Dataflow, Data Warehouses including BigQuery, queuing and message systems with Pub/Sub, Data Lakes with BigLake and Cloud Storage, application databases including SQL and Postgres, Redis, and Composer DAG-based workflow automation.
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One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.
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Open Source, Certification, OpenStack, Software Development, Containers, Kubernetes, AI/ML, Software Engineering, IoT, Operating Systems, Software Operations, Cloud computing, and Public cloud.
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Description SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.
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PhD in computer science, data science, geospatial science/engineering, remote sensing, or related discipline. -The candidate will have the opportunity to work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.
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Hydroinformatics - Motivated by the expansion of data acquisition systems and the need for managing and using massive datasets, this position requires specialization in information systems and technology for water management, engineering, and operations, with expertise in extreme data management, analytics, data mining, large dataset access, remote sensing, artificial intelligence, machine learning, water systems modeling, and geographic information systems.
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Responsibilities will vary based on skill level: Writing and editing programmatic documentation using approved Government templates and formats Assisting in preparing and maintaining operations documentation, user guides and manuals, and technical publications Gathering technical information and preparing written text Maintaining a current internal documentation library Using multiple word processing and presentation tools such as Microsoft Word, PowerPoint, Visio, etc.
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With your experience in the Research domain, you will possess knowledge of diverse assay types such as IHC, flow cytometry, cytokine data, genomics, and systems such as LIMS and ELN. Your ultimate goal will be to place data at the fingertips of stakeholders and enable science to go faster.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). BS in computer science, software engineering or related area with at least 10+ years of experience in working on the development of data pipelines and data products.
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Information systems and technology for water management, engineering, and operations that leads to hydroinformatics innovations in geospatial data management and analytics, visualization, web portals, software, and applications of geospatial technologies.
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We are: We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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