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The Machine Intelligence in Medicine and Imaging Lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease.
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Moreover, client has a substantial presence in the field of artificial intelligence (AI) and research, working on projects like the development of conversational AI agents, natural language processing, and machine learning technologies.
$120 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Group Problem Solving, Machine Learning, Microsoft Power BI, Model Building, Python (Programming Language), Statistical Analysis.
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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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Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training. What you will be doing As a Research Scientist you will investigate, analyze, and develop emergent AI capabilities to support machine translation model retraining and domain-specific modeling, leveraging data acquired from diverse sources or varying quality.
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Responsibilities of the position include development, evaluation and deployment of a robotic imaging system, big data analytic pipeline, artificial intelligence enabled decision-support systems for animal production with a focus on swine reproduction.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics. Work as part of a cross-functional Agile team to create and enhance software for big data and ML applications.
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The faculty in the department conducts research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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Our emphasis on translational research and therapeutics is evident in such diverse areas as genomics/big data, virology, neuroscience, cardiology, geriatrics, as well as gastrointestinal and liver diseases.
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This branch focuses on leveraging big data, data visualization, artificial intelligence, and statistical methods to 1) identify and analyze health trends, 2) support health decision making, 3) enhancing disease surveillance, and 4) promote health equity.
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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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Knowledge of data management practices across the full data life cycle, such as data strategy, requirements, design and development, data science, data governance, metadata management, data quality, business intelligence, and data security & privacy.
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Collaboration across the larger Riverside Research organization to facilitate the development and transition of revolutionary RF Solutions in important technology areas in the sensor technology space, including signal processing, RF and optical hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures, and software development.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Artificial Intelligence / Machine Learning (Data Bricks, Amazon Sagemaker, Azure ML Studio) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits.
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