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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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His/her primary focus will be Machine learning, Chatbot and Artificial Intelligence technologies, leveraging platform-specific analysis tools, and integration with backend infrastructure.
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Areas of focus will include but not be limited to blockchain, cryptocurrency, artificial intelligence, machine learning, cybersecurity, data privacy, virtual reality / augmented reality, big data/predictive analytics, and social platforms.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. PhD in Engineering or Science with preference in Quantum Computing, Physics, Electrical Engineering, or Computer Science.
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The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design. Ph. D. with 8+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Comprehensive technical expertise and a research track record in one or more of the following domains: artificial intelligence/machine learning; advanced cybersecurity methods and technologies; computer science and engineering; software engineering; modeling and simulation; model-based systems engineering; and/or computational science and engineering.
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Apogee is actively seeking a full-time Artificial Intelligence/ Machine Learning (AI/ML) Subject Matter Expert working for the Department of Homeland Security's Advanced Computing Branch supporting the Department of Homeland Security (DHS) Science and Technology Directorate within the Data Analytics Technology (DTC) in Washington, D.C. This position is fully remote.
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The role involves working on patent prosecution cases related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), and machine learning/artificial intelligence with a hardware security emphasis.
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The Department of Medicine, Division of Nephrology is seeking a full time Data Scientist III. An Artificial Intelligence and Data Scientist 3 will assist in multiple ongoing and future biomedical microcopy artificial intelligence research projects by (1) performing data analyses, processing, and feature extraction, and developing data tools for accelerating research; (2) developing and validating a variety of machine learning/deep learning models with heterogenous cell and tissue imaging data.
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SAIC's National Intelligence Community (NIC) business unit provides solutions and services supporting digital modernization programs in areas such as system engineering, cloud computing, cyber security, data science and analytics, artificial intelligence / machine learning, application development, DevSecOps, network operations, and secure communications.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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Machine Learning: Artificial Neural Network (ANN), GANs, Bayesian Network/BBN, Regression, Logistic Regression, Decisions Tree, Elastic-net regularized generalized linear models (built in R), k-NN, SVM, Clustering, Page Rank and PCA, MCA, MFC, aPriori and other Data Mining and Deep Learning Algorithms.
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artificial machine learning jobs Title: data science Company: Capital One
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