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This Data Scientist will focus on architecting, deploying and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence and Machine Learning.
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Experience with high dimensional data mining, machine learning, artificial intelligence and statistics preferred. The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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Specific tasks will include data curation and database expansion, database management, website and data server maintenance, data archiving, working with Stanford libraries, and creating computational tools such as Python scripts for data processing to support artificial intelligence and machine learning efforts in cardiovascular imaging and modeling.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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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. Ph. D. with 0- 2+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design.
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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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Faculty in the IBI are members of several departments at PSOM and are engaged in a wide range of original research including computational genomics, artificial intelligence, data mining, machine learning, big data integration, and investigation into the pathogenesis of human complex disease.
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Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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Experience developing solutions in at least 4 of the following technology areas:Government Cloud IaaS and PaaS (FEDRAMP Authorized solutions)Microservices and ContainersDevSecOpsData AnalyticsML/AI (Machine Learning / Artificial Intelligence.
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machine learning product management artificial intelligence data science high tech jobs Title: senior manager in Windsor-mill, Maryland
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