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An elite quantitative trading firm, that has invested 100s of millions into machine learning research to build one of the world's most advanced prediction machines - is actively looking for a highly skilled Deep learning specialist to join their business and become a major player in the direction of their ML research.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Newly appointed faculty will be expected to conduct next generation translational research focused on cancer and driven by data science, artificial intelligence, machine learning, computer science, computational biology, and other quantitative fields.
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Silver HCM Excellence Award for Learning & Development" - Brandon Hall Group. Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Monitor existing and proposed regulations affecting international trade, including artificial intelligence / machine learning and cloud regulations which impact import / export control regulations.
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You will be at the center of a fast-growing, high-tech startup using the latest Cloud technology, AI (Artificial Intelligence), and machine learning. Use data-driven insights to forecast sales outcomes and adjust tactics accordingly.
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Job Title: Jr. Big Data Engineer (Urgent hiring) Familiarity with data visualization tools such as Tableau or Power BI. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as.
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Exposure to alternative data sources and machine learning techniques for signal generation and trading strategy development. Utilize statistical methods, machine learning algorithms, and ensemble techniques to enhance signal quality and predictive power.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Also requires 5 years of experience with/using the following (which may have been gained concurrently):Working with data mining algorithms including artificial intelligence and machine learning techniques such as regression, decision trees, association rules, clustering, deep learning, neural networks, and Bayesian models.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability combining science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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The senior bioinformatics engineer will report to the Deputy Director of Bioinformatics and will work alongside a growing team, including a software engineer, a data manager, and a data analyst on the Bioinformatics team, as well as with Informatics' engineering team, the SDBR (SFARI Data and Biospecimen Repository) team, and various SFARI cohort teams (SPARK, Searchlight, ABN, etc.
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Experience in DevOps, CI/CD integration, data modeling and mining, large-scale enterprise MDM implementation, HL7 messaging standard (version 2. Should have an in-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.
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machine learning data mining engineering jobs Title: data Company: Amazon Web Services Aws in Hoboken, NJ
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