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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$205,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep technical knowledge in one or more of the following areas: robotics, embedded systems, computer vision, LiDAR, deep learning, guidance navigation and control. We are especially interested if you have demonstrated solid fundamentals and previous success in areas such as computer vision, signal processing, compilers, applied deep learning, and/or related fields.
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We are seeking candidates with expertise in machine learning (especially deep learning) and network approaches, to work on systems immunology research funded by a NIAMS P50. The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills.
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Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
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Mastery of SAP Treasury: Define, strategize, and execute SAP cash management, Treasury management, including Transaction management, Hedge management, and accounting, Liquidity planning, and analyzers, showcasing your deep SAP Treasury proficiency.
$128,235 - $213,725 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in predictive modeling, data science, or machine learning. BS in computer science, machine learning, data science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
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Located in the Midwest and Mid-Atlantic Regions, Kokosing's services include the construction of highways/bridges, industrial facilities/factories, data centers, marine, solar, advanced industrial, pipeline, and water/wastewater facilities , along with asphalt/concrete pavement and underground utilities.
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BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with at least 3 years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with at least 1 year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
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Pearson VUE offers a great environment to start or grow your career, we are now hiring for a Senior Technical Evaluator to join our team based in Pittsburgh Pa. Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses.
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Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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The Machine Learning Department within the School of Computer Science is seeking a Postdoctoral Research Associate as part of the Simons Collaboration on Learning the Universe. Specific areas of technical research include deep learning, generative models, foundation AI models, physics informed ML models, uncertainty quantification, robustness, and transfer learning.
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BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
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He SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges. Experience in predictive modeling, data science.
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